Purple Oven is a growing food company that takes pride in striving to provide customers with best-in-class products and genuine service. Throughout the years, the Company has steadily built and maintained relationships with its institutional clients and has established retail stores in different neighborhoods of the metro. Behind all the work is the Purple Oven team, composed of different personalities of food lovers, dedicated to reach the organization's goals of excellence and quality.

The Purple Oven Corporation

We are looking for leaders who can carry out manufacturing operations – from purchasing of materials, execution of efficient operations, ensuring the cleanliness and orderliness of the facility, and looks after the freshness and consistent quality of products. Someone who can come up with relevant and practical systems and policies that will help achieve the goals of the company.

 

Responsibilities include the following and may be assigned to a specific team:

<ul>
	<li>
	Purchasing – carries out successful purchasing of materials, equipment and services in a timely manner, while maintaining harmonious business relationships with suppliers and service providers.
	</li>
	<li>
	Production Planning - appreciates, understands, and desires to make daily manufacturing operations efficient and of consistent quality.
	</li>
	<li>
	Targets Analyst – appreciates and understands the value of analyzing historical data, setting and hitting sales targets to maximize opportunities and ensure freshness of products.
	</li>
	<li>
	Quality Assurance - innovates, implements, and reviews systems and policies that adhere to cleanliness and quality standards of the facility and people.
	</li>
	<li>
	Research &amp; Development – creatively comes up and executes new products, and improves existing ones, while ensuring food safety and quality, efficient production process, and maximizing resources.
	</li>
</ul>

Food Science and Manufacturing Specialist

It is a multi-national company with operations in Singapore, Malaysia, Thailand and other countries in Asia. Gardenia Phils. began its operations in 1998 with a state-of-the-art bread factory rated as one of the most modern large-scale bread manufacturing facilities in the country.

Gardenia Bakeries Phils., Inc.

<ul>
	<li>Analyze new and existing data sources to enhance design, improve performance efficiency, and prevent logical errors.</li>
	<li>Design, develop, maintain, and support dashboards and visualizations using tools like Tableau and Power BI.</li>
	<li>Create and maintain data dictionaries, ensuring standard definitions that are easily understood across the organization.</li>
	<li>Troubleshoot and maintain Tableau products, including Tableau Desktop and Server.</li>
	<li>Act as the Subject Matter Expert (SME) for Tableau, providing training, addressing issues, and recommending improvements.</li>
	<li>Collaborate with end-users to gather and analyze reporting requirements.</li>
	<li>Conduct testing and data quality checks to ensure accuracy and reliability of data sources and visualization outputs.</li>
	<li>Propose and implement changes to the existing data warehouse structure to meet business needs while ensuring data integrity.</li>
	<li>Perform other tasks as assigned by the immediate superior, contributing to the effective implementation of projects</li>
</ul>

Data Analyst

Yondu is a Philippine-based IT solutions company owned by Globe Telecom. We empower businesses across various industries through a wide array of innovative technology solutions to help them scale in the new digital economy. Our mission is to create happier technological experiences by turning great ideas into excellent and valuable business solutions.
If you’re looking to advance your career in the IT industry, Yondu is the best place to be. You will be a part of a young, dynamic culture that always pursues innovation and growth. As a Yondude, you’ll gain fresh perspectives from a team of knowledgeable and competitive individuals and learn how to develop cutting-edge business solutions that go above and beyond. You’ll also enjoy collaborating with brilliant and fun people who are ready to take on the world.
Established in 2001, our company has grown exponentially, and we’re always on the lookout for highly skilled and competitive individuals to innovate and evolve with. If this sounds exciting for you, #BeAYondude, and leverage your expertise to help us achieve our ultimate goal of going above and beyond!
Join us and grow your career in the IT industry!

YONDU INC.

Duties and Responsibilities 

<ul>
	<li>Develop and implement advanced data analysis techniques to optimize efficiency and quality.</li>
	<li>Prepare and present detailed reports, dashboards, and visualizations of operational results for stakeholders.</li>
	<li>Interpret data using analytics and statistical methods, providing insights and recommendations.</li>
	<li>Lead the full lifecycle of analytics projects, from requirements gathering to design and execution.</li>
	<li>Evaluate key performance indicators and provide ongoing reports to support decision-making.</li>
	<li>Collaborate with cross-functional teams to ensure data integrity and alignment with business goals.</li>
	<li>Stay updated on industry trends and emerging technologies in data analysis and analytics tools.</li>
	<li>Conducted data quality assessments and implemented improvements as needed.</li>
	<li>Support the development and implementation of data governance policies and procedures.</li>
	<li>Mentor junior analysts and provide training on data analysis techniques and tools.</li>
	<li>Other job-related activities may be assigned from time to time.</li>
</ul>

SlideGenius is the leading global Presentation Design Agency, trusted by over 5,000 clients worldwide, including industry giants such as Adidas, Autodesk, Illumina, J.P. Morgan, Meta, MetLife, and Pepsi. With headquarters in San Diego, California, and offices in London, Makati, and Bacolod, we operate around the clock, delivering exceptional presentation design solutions across industries.

Our Makati and Bacolod offices works directly with our global teams, contributing to exciting and high-profile projects every day. We operate 24/7, offering flexible shift options for dynamic and motivated professionals.

SG APAC, Inc.

A Data Researcher assists with the planning and execution of marketing and business development activities. They support the (but not limited to) marketing department by assisting with daily tasks that are necessary to keep the department functioning. One-part analyst, one-part sales intelligence: the Data Researcher supports SlideGenius' sales and marketing efforts by comparing our current customers' needs with new business opportunities in an effort to reach a new audience.

 

<ul>
	<li>Provide general administrative and clerical support.</li>
	<li>Perform data entry and file maintenance.</li>
	<li>Create and modify various documents in both Microsoft Office and Google Apps.</li>
	<li>Learn how to navigate sales and marketing tools, such as Salesforce, Pardot, LinkedIn Sales Navigator, etc.</li>
	<li>Gather data needed by the sales and marketing departments.</li>
</ul>

Data Researcher

2X is the global leader in B2B marketing as a service (MaaS), a subscription-based alternative to traditional B2B marketing delivery models. Offering AI-enabled B2B marketing talent and strategic consulting, 2X allows marketing leaders to accelerate growth in today’s resource-constrained environment and to deliver measurable results without increasing budgets. 

Founded in 2017 by three former CMOs from major global corporations, our mission at 2X is to improve marketing performance with powerful, data-driven campaigns that help businesses create more visibility, generate leads, and increase competitive advantage—twice as fast, and with double the impact. 

2X is composed of world-class marketing strategists, developers, analysts, designers and writers who work together to build, run, and optimize marketing. Our company is growing fast, and we’re looking for the best talent to join our pioneering MaaS team. 

2x (Formerly StraightArrow Corporation)

The Data Analyst is responsible for gathering and analyzing data from a variety of sources to identify trends in market performance, customer behavior, and the effectiveness of marketing campaigns. This involves using statistical tools and methods to process and interpret large dataset and using BI platforms to create visualizations comprehensible to a broad audience. They collaborate closely with the marketing team and other functions to convert raw data into valuable insights that drive key business decisions.

Key Accountabilities and Responsibilities:

<ul>
	<li>Database Management: Ensure the overall health of the database, including improving and maintaining data accuracy and relevance, managing data imports and ensuring the uniqueness of records within the CRM, and implementing logical and strategic segmentation.</li>
	<li>ABM Research: Create account dossiers through the gathering of insights and data about target accounts to inform and personalize marketing/sales strategies and tactics.</li>
	<li>Reporting and Visualization: Create reports and dashboards to visualize data insights and present findings to stakeholders, helping them make informed decisions.</li>
	<li>Data Analysis: Analyze large datasets to identify trends, patterns, and insights that can inform marketing strategies.</li>
	<li>Stakeholder Management: Understand, engage, and influence stakeholders to ensure their needs are addressed, building a good rapport with stakeholders.</li>
	<li>Cross-Functional Collaboration: Work with MarOps, Campaigns, Design, and Content to analyze gaps and opportunities.</li>
	<li>Campaign Optimization: Collaborating with marketing teams to optimize campaigns based on data-driven insights, such as adjusting targeting strategies, refining messaging, or reallocating budget.</li>
	<li>People Management: Serve as a senior buddy to data associates, offering guidance and support to foster their learning and development.</li>
</ul>

Duties and Responsibilities:

<ul>
	<li>Develop and implement advanced data analysis techniques to optimize efficiency and quality.</li>
	<li>Prepare and present detailed reports, dashboards, and visualizations of operational results for stakeholders.</li>
	<li>Interpret data using analytics and statistical methods, providing insights and recommendations.</li>
	<li>Lead the full lifecycle of analytics projects, from requirements gathering to design and execution.</li>
	<li>Evaluate key performance indicators and provide ongoing reports to support decision-making.</li>
	<li>Collaborate with cross-functional teams to ensure data integrity and alignment with business goals.</li>
	<li>Stay updated on industry trends and emerging technologies in data analysis and analytics tools.</li>
	<li>Conducted data quality assessments and implemented improvements as needed.</li>
	<li>Support the development and implementation of data governance policies and procedures.</li>
	<li>Mentor junior analysts and provide training on data analysis techniques and tools.</li>
	<li>Other job-related activities may be assigned from time to time.</li>
</ul>

Work Set-up: Hybrid (3x a week RTO)

Duties and Responsibilities:

<ul>
	<li>Design, build, and maintain scalable, secure data pipelines and storage systems; ensure data quality through ETL processes and regular checks.</li>
	<li>Implement policies and practices to control, optimize, and secure data assets, ensuring data integrity and accessibility.</li>
	<li>Develop and maintain data models, structures, and databases to meet business needs; communicate data architecture effectively.</li>
	<li>Develop, test, and maintain scripts and programs to automate data processing and pipelines, adhering to industry standards.</li>
	<li>Create and operationalize data visualization solutions to simplify complex data for stakeholders and decision-making.</li>
	<li>Work with cross-functional teams to gather data requirements, optimize existing processes, and deliver ad hoc reports and insights</li>
</ul>

Work Set-up:

Hybrid (3x a week RTO)

Python

Data Engineer

The Ateneo de Manila University (Ateneo) is one of the leading universities in the Philippines. More than 150 years in existence, the Ateneo has grown into a major Jesuit institution. Officially it became a university in 1959. It offers over 100 academic degree programmes. 

Ateneo offers Basic Education (Grade School, Junior and Senior High School). In addition, the Loyola Schools (college) is made up of four schools (Social Sciences; Humanities; Science and Engineering; and Management) that offer graduate and undergraduate degrees, with a total enrolment of about 10,000 students per year. The Ateneo has 4 professional schools located in 3 campuses in Quezon City, Makati City and Pasig City (Business; Government; Law; and Medicine and Public Health), with about 4,000 professional postgraduate students. 

It has an array of research centres, 11 of which are recognized as Centres of Excellence by the Philippine Commission on Higher Education. In addition to a European Studies Programme, it has a Centre for Asian Studies that fosters comparative research on East and Southeast Asia. 

The Ateneo has 207 partnerships with universities around the world (82 in Europe, 87 in Asia, 11 in Australia and New Zealand, and 27 in North and South America) and is a member of the ASEAN Universities Network and 3 other international university networks. The Ateneo’s Rizal Library is the most advanced in the Philippines with over 307,000 titles in its collection and online access to most major academic journals.

Ateneo de Manila University

Summary of Work Activities and Responsibilities:

<ul>
	<li>The Office Assistant reports primarily to the Assistant to the Dean, and the Dean. He/She works closely with the Office Administrative Assistant, coordinates with Department Secretaries, Chairs, and various offices on matters related to financial transactions and SOSE website management.</li>
	<li>The position provides support for accounting and clerical duties related to the School of Science and Engineering’s budget, including tracking expenditures, processing financial documents, and maintaining accurate budget records. It also involves managing the School's website by updating content, ensuring information is current and accurate, and coordinating with Departments to reflect academic and administrative updates.</li>
</ul>

 

Main Duties and Responsibilities: 
Administrative Support

<ul>
	<li>Answer or place telephone calls and e-mails, and relay messages to the appropriate personnel.</li>
	<li>Entertain needs of faculty, students, and guests at the SOSE Dean’s Office.</li>
	<li>Provide support for SOSE’s various academic activities e.g. Annual GA, Merit, Director’s List and Open House Receptions, SOSE Week, Recognition Program, and Graduation Ceremony, etc.</li>
</ul>

Fiscal Support

<ul>
	<li>Coordinate with the Departments, CAO, and Purchasing Office on budget matters.</li>
	<li>Prepare, review, and endorse Check Payment System (CPS) and Electronic Purchase Requisition System (EPRS) requests for Asst. to the Dean/Dean’s approval.</li>
	<li>Assist the Dean with budget preparations for each School Year, by preparing budget requests for capitalized furniture and equipment, non-capitalized furniture and equipment, office supplies, and expenses.</li>
	<li>Coordinate with Departments on budget preparations for each School Year.</li>
	<li>Review and consolidate Department requests in order of priority with justifications and quotations for the Dean’s approval.</li>
	<li>Prepare, review, and endorse budget realignment and budget transfers for the Dean’s approval.</li>
	<li>Prepare, review, and endorse CPS and EPRS User Access forms for the Dean’s approval.</li>
	<li>Prepare, review, and endorse requests for liquidation, exception justification and new DCB accounts for projects.</li>
	<li>Review and endorse financial reports from the Departments.</li>
	<li>Disseminate documents to the Departments in relation to budget.</li>
	<li>Process approved financial assistance for faculty, staff, and students, e.g., conference subsidies, grants, etc.</li>
	<li>Manage budget processes for the SOSE Sanggunian Academic Subsidy (SAS) grants.</li>
	<li>Place orders for supplies and equipment for the Dean’s Office</li>
	<li>Handle the Dean’s Office revolving fund.</li>
	<li>Monitor the Dean’s Office budget.</li>
	<li>Keep updated budget records.</li>
</ul>

Website Support

<ul>
	<li>Maintain and regularly update the content of the School’s website to ensure all information is current, accurate, and relevant, in coordination with UMCO.</li>
	<li>Coordinate with Departments for event announcements and news.</li>
</ul>

Office Staff | School of Science and Engineering

Job Description:

<ul>
	<li>Develop and maintain machine learning models</li>
	<li>Features Engineering and generation of Analytics Base Tables</li>
	<li>Test data model designs</li>
	<li>Tune Training and testing scripts to run in an efficient manner</li>
	<li>Data Management and Exploration.</li>
	<li>Data Analytics and Modeling:</li>
	<li>Campaign Expertise</li>
	<li>Knowledge Transfer and Collaboration</li>
</ul>

Data Scientist

The Data Engineer will be responsible for designing, building, and maintaining robust data infrastructure and pipelines that support current and future business needs. This includes transforming raw data into actionable insights through scalable and secure pipelines, managing data assets effectively, and enabling seamless access to data for analytical and operational processes.

Duties and Responsibilities: 

<ul>
	<li>Design, build, and maintain scalable, secure data pipelines and storage systems; ensure data quality through ETL processes and regular checks.</li>
	<li>Implement policies and practices to control, optimize, and secure data assets, ensuring data integrity and accessibility.</li>
	<li>Develop and maintain data models, structures, and databases to meet business needs; communicate data architecture effectively.</li>
	<li>Develop, test, and maintain scripts and programs to automate data processing and pipelines, adhering to industry standards.</li>
	<li>Create and operationalize data visualization solutions to simplify complex data for stakeholders and decision-making.</li>
	<li>Work with cross-functional teams to gather data requirements, optimize existing processes, and deliver ad hoc reports and insights</li>
</ul>

M2.0 Communications specializes in business, technology and lifestyle communication, with emphasis on public relations, stakeholder management and digital communication. We focus on public relations, social media marketing and media analytics, and pride ourselves as experts in earned media communication.

Starting with one employee in 2003, M2.0 now has a total of around 50 full-time staﬀers composed of a dozen manager/director level employees and more than 40 specialists. During this time, the company came to work with dozens of national and international brands including Intel, Dell, Carrier, Bank of the Philippine Islands. Currently, we work with brands including UNICEF, Philips, OPPO, Del Monte, Bayo and the Government of the Philippines.

M2.0's diﬀerentiation lies in the robust support oﬀered by its diﬀerent service units, as well as its knowledge and experience in stakeholder management, technology and business PR. The agency also oﬀers a unique media monitoring service that is currently one of the most responsive and comprehensive in the Philippines today.

M2.0 Communications Inc.

Media Meter is a technology company that tracks mentions across thousands of media channels including newspapers, magazines, radio, TV, blogs, and social media. For us, it’s all about helping organizations understand what is happening in their world so that they can build more effective communications strategies. We do this by revealing conversations about issues and brands in the media, and extracting insights from these conversations so that organizations can build strategies around them.

Media Meter

Is the role right for you?

As a Data Engineer, you will be part of the data collection team that creates and maintains a scraping system. As a developer, your duties may include designing and developing the system, selecting appropriate scraping tools, writing efficient scraping scripts, monitoring and maintaining the system, ensuring data quality and integrity.

What are your responsibilities?

<ul>
	<li>Document website analysis processes and metrics in order to help programmers iterate data scraping algorithms</li>
	<li>Designing and developing efficient and scalable algorithm to scrape data from various websites</li>
	<li>Develop and maintain scripts for automation of tasks related to data processing and analysis</li>
	<li>Extracting, transforming, and loading (ETL) data from different sources to enable data analysis and reporting.</li>
	<li>Build and maintain data processing infrastructure</li>
	<li>Continuously improve data quality and automation processes</li>
	<li>Produce and exhibit reports that give a comprehensive overview of the status of your tasks and how much progress has been made on them</li>
</ul>

What kinds of opportunities are on offer?

We believe that the power to learn new things is the one of the most important skills anyone can ever have. Given enough persistence and grit, as a part of our data collection team, you will

<ul>
	<li>You will become extremely knowledgeable in scraping system and become good at automating processes</li>
	<li>Become proficient in programming languages such as Python</li>
	<li>Gain an understanding of how to design big data delivery platforms and scalable scraping system</li>
</ul>

<h3>Responsibilities:</h3>

<ul>
	<li>Manage the design, development, implementation, and maintenance of the company's data sources.</li>
	<li>Establish and enforce data management policies to ensure the quality, integrity, and security of enterprise data.</li>
	<li>Design, develop, and implement ETL pipelines using various integration tools.</li>
	<li>Collaborate with Data Analysts to translate analytics requirements into scalable and efficient data model designs.</li>
	<li>Create and maintain robust data warehouse architectures to support organizational data needs.</li>
	<li>Ensure consistent data quality by performing routine testing and troubleshooting of ETL pipelines.</li>
	<li>Coordinate closely with the Application Development team to implement best practices in data processing and integration.</li>
	<li>Maintain comprehensive documentation of applied changes in production databases.</li>
	<li>Perform other tasks and projects as assigned by the Senior IT Manager.</li>
</ul>

OUR BUSINESS

First Gen Corporation (First Gen) is a leading independent power producer in the Philippines that primarily utilizes clean and indigenous fuels such as natural gas, geothermal energy from steam, hydro-electric, wind, and solar power. The company has 3,489 MW of installed capacity in its portfolio, powering 21.4% of the country’s gross generation.

First Gen is a natural gas pioneer and owns four out of the five natural gas-fired power plants in the country. These are the 1500-MW Sta. Rita and San Lorenzo plants, the 97-MW Avion and the 414-MW San Gabriel power plant. Avion will be the first power plant in the Philippines to run on aero-derivative gas turbines while the San Gabriel plant is expected to be the most efficient natural gas-fired plant in Southeast Asia. First Gen also has the largest portfolio of power plants that use clean, renewable and indigenous fuels. The plants are present in all three grids of the Philippines, and can serve the baseload, mid-merit and peaking market segments.

“Going forward, we continue to keep our eye on remaining relevant, effective, pioneering, and smart about the choices we make in moving towards a decarbonized world… First Gen continues to care about the world we live in, and we will continue to dare to make positive contributions.” 
– President and Chief Operating Officer, Francis Giles B. Puno

First Gen Corporation

Responsible for the effective execution of data management projects that require building systems to collect, manage, and convert raw data into usable information for business analysts to interpret, supporting the analytics requirements of the Data Analytics Team and its customers. This role works closely with business analysts, data scientists, data stewards, domain experts, and IT/infrastructure teams to understand data needs, ensure alignment with business goals, and deliver high-quality, reliable data solutions.

Key Accountabilities

1. Data Modeling and Design 
a. Conducts data modeling and analysis, and develops detailed data models (e.g., using Python scripting, data warehousing, and SQL platforms, with knowledge of Talend or similar ETL tools). 
b. Develops automated systems for managing power industry and wholesale electricity spot market datasets. 
c. Maintains databases and computing environments, and administers database utilities.

2. Data Integration and Interoperability 
a. Gathers and organizes power industry-related and customer-specific data from multiple sources. 
b. Ingests and transforms raw electrical data from Remote Energy Monitoring (IoT devices), cleanses and normalizes it to create a standardized data layer ready for analytics. 
c. Monitors and manages how applications and users access and interact with databases to ensure smooth data flow and optimal system performance. 
d. Provides possible scenarios and recommendations for process improvement and streamlining within the team. 
e. Ensures consistent and accurate information is produced and delivered to various groups within the company; oversees and troubleshoots automated data pipelines and workflows to ensure reliability.

3. Special Projects 
a. Assists in executing the company’s Customer Analytics flagship project by developing use cases that strengthen collaboration across teams. 
b. Works with the product manager and vendors to enrich incoming Remote Energy Monitoring device data, ensuring comprehensive use cases that integrate product, data, operations, and business goals. 
c. Supports projects, protocols, and processes from planning to deployment, liaising with various IT vendors as potential service/system providers and project partners.

Objective (Purpose of the Job)

The Senior HR Data Analyst shall be responsible for organizing, managing and optimizing Human Resources data. The role shall handle big data and includes performing data analysis, data migration, data migration governance, and ensuring data quality and integrity across various reporting and analytics requirements by HR. HR Data Analyst is capable to provide recommendations and strategies that will support the preparation and migration of HR data to the new platform/system. This position will collaborate with Project Managers and Project Leads to ensure completion of project deliverables.

 

Key Responsibilities

- Plan, execute, and validate the migration of HR data from legacy systems to the new HCM platform.

- Analyze, cleanse and test data to ensure accuracy, completeness, and consistency.

- Develop and execute data migration scripts and tools.

- Identify and resolve data migration issues and discrepancies.

- Document data migration processes and procedures.

- Perform data reconciliation and validation post-migration.

- Using data visualization tools for reporting

- Creating data dictionary, data/entity relationship diagrams and data analysis with regards to the data structure hierarchy, validations and usage

Sr. Data Analyst

Lately, everything needs analytics, and LENA is a Philippine start-up that provides just that. We provide personalized end-to-end data solutions to both leaders of industries and to SMEs that are looking for an edge -- whether that is in data collection, data storage, data analytics, AI, data science or data strategy! Our objective goes beyond delivering solutions, but to enable clients to appreciate, learn, and integrate data-driven techniques and analytics for their organizations.
As part of our goal to enable transformation through data, we are looking for future leaders who are looking to improve themselves, and are excited to shape individuals, organizations, and even societies. As a LENA employee, you will be both an analytical and creative engineer who is able to grasp user needs, work together to create impactful solutions, and communicate business outcomes.

LENA is the trade name of Twelve Baskets Analytics, Inc.

--- COMPANY VALUES ---
PASSION FOR LEARNING AND INNOVATION
We appreciate the fact that everyone knows something others do not and no one knows everything they need to know. We learn from ourselves and one another. We practice an attitude of teaching and learning to grow as a team.
We value the journey of finding new and better ways of doing things. We continuously develop works of quality and innovate better practices.

WE AS A TEAM
We promote smart ideas and good collaboration working as a team. We understand and accept the value of feedback, listening, and following. We manage and lead our work in a manner that benefits everyone. We initiate and participate in developing ourselves, our work, our customers, and our workplace.

ENGINEERING AND ENTREPRENEURSHIP
We believe that our work must create value for our customers and ourselves. We approach each day with the initiative to solve business problems smartly and to automate as much as we can.

LENA - Lately, Everything Needs Analytics

As our Data Engineering Manager, you will lead and grow a team of Data Engineers embedded in various client accounts. You will be responsible for people development, performance management, delivery oversight, and organizational influence—working closely with our Head of Data Engineering and the Data Engineering Council.

You are expected to bring deep engineering experience to provide mentorship and coaching, challenge designs, and model sound engineering judgment—especially in solving ambiguous or poorly scoped problems, rather than writing code full-time.



Resposibilities:

People Management

<ul>
	<li>Manage and mentor a team of Data Engineers (mix of junior and senior)</li>
	<li>Conduct regular 1:1s, performance reviews, and career development planning</li>
	<li>Provide both mentorship and coaching to engineers at all levels</li>
	<li>Support onboarding and upskilling of Data Engineers across accounts</li>
</ul>

Technical Leadership

<ul>
	<li>Provide guidance on how Data Engineers design and develop data modeling, ETL/ELT pipeline architecture, testing, and documentation</li>
	<li>Provide development and standards for implementing the data engineering lifecycle and its undercurrents, such as Observability and Software Engineering for each Data Engineer</li>
	<li>Review technical work periodically (e.g., PRs, architecture proposals)</li>
	<li>Collaborate with senior engineers and the Data Engineering Council to set engineering standards and reuse strategies</li>
</ul>

Project Support &amp; Delivery Oversight

<ul>
	<li>Partner with cross-functional leads (e.g., Data Visualization Engineers) to ensure smooth delivery across squads</li>
	<li>Monitor health of delivery: timelines, blockers, data quality issues</li>
	<li>Act as an escalation point for technical and operational challenges</li>
</ul>

Org Building &amp; Process Improvement

<ul>
	<li>Help shape our technical onboarding, leveling framework, and Data Engineer career pathing</li>
	<li>Drive systems thinking: shared libraries, playbooks, reusable infra patterns</li>
	<li>Contribute to recruiting, hiring, and talent branding</li>
</ul>

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