The Data Product Engineer owns the lifecycle of data products built on the lakehouse platform. Acting as the bridge between business consumers and technical teams, this role drives the definition, prioritization, and delivery of trusted, well-documented data products that enable analytics, reporting, and AI/ML use cases.
KEY RESPONSIBILITIES
▸ Define and own the data product roadmap aligned to business priorities and OKRs
▸ Work with business stakeholders to identify, capture, and prioritize data product requirements
▸ Develop data product specifications, including schemas, SLAs, access controls, and documentation
▸ Collaborate with data engineers to ensure timely and quality delivery of data products
▸ Establish and track KPIs for data product usage, quality, and business value delivered
▸ Manage the data product catalog and metadata to enable discoverability and self-service
▸ Lead data product sprint planning, backlog grooming, capacity management, and release management
▸ Serve as the primary point of contact for data consumers across business domains
▸ Drive adoption of the data product framework and advocate for data-as-a-product culture
▸ Coordinate with governance, infosec, and compliance teams to ensure product-level policies are enforced
REQUIRED QUALIFICATIONS
▸ 7+ years in a product management, data management, or analytics role
▸ 3+ years managing data products in a modern data lakehouse or data warehouse environment
▸ Strong understanding of data modeling, data lineage, and metadata management
▸ Experience with Agile/Scrum methodologies and product lifecycle tools (Jira, Confluence)
▸ Familiarity with BI tools (Tableau, Power BI, Looker) and SQL proficiency
▸ Excellent stakeholder management and communication skills
▸ Bachelor's degree in Business, Computer Science, Information Systems, or related field
PREFERRED QUALIFICATIONS
▸ Experience with DataHub, Apache Atlas, or Alation for data cataloging
▸ Knowledge of data mesh and domain-oriented data ownership models
▸ Certifications: CDMP, PMP, or Agile Product Owner
At Dynata, we deliver the highest quality first-party data to help businesses around the world gain precise insights, activate the right audiences, and confidently measure impact. With industry-leading respondent accuracy, reliability, and a commitment to continuous improvement, Dynata is the trusted foundation for smarter decision-making.
At Dynata, we are committed to creating an inclusive and accessible environment where every employee and customer feels valued, respected, and supported. We strive to build a workforce that reflects the diversity of the communities we serve. Dynata welcomes and encourages applications from individuals with disabilities and is dedicated to fostering a work culture that supports everyone. Accommodations are available upon request for all aspects of the selection process.
Dynata is an Equal Opportunity Employer. We consider all qualified applicants and employees without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, marital status, age, disability, genetic information, veteran status, or any other legally protected status under applicable laws.
The base salary range for this position in is $140K-$160K/yr; however, base pay offered may vary depending on location, job-related knowledge, skills, and experience. A discretionary incentive program may be provided as part of the compensation package, in addition to a full range of medical and other benefits, dependent on full-time employment status.
Skills Required
- 7+ years of experience in product management, data management, or analytics
- 3+ years managing data products in a modern data lakehouse or data warehouse environment
- Strong understanding of data modeling, data lineage, and metadata management
- Experience with Agile/Scrum methodologies and product lifecycle tools such as Jira and Confluence
- Familiarity with Tableau, Power BI, or Looker and proficiency in SQL
- Excellent stakeholder management and communication skills
- Bachelor's degree in Business, Computer Science, Information Systems, or a related field
- Experience with DataHub, Apache Atlas, or Alation for data cataloging
- Knowledge of data mesh and domain-oriented data ownership models
- CDMP, PMP, or Agile Product Owner certification
Dynata Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Dynata and has not been reviewed or approved by Dynata.
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Leave & Time Off Breadth — Time off options such as paid holidays, sick time, PTO, and in some cases unlimited PTO are available, with PTO sometimes described as generous. Volunteer time and a “birthday day off” expand the time‑off menu beyond basics.
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Flexible Benefits — Flexible and remote work options are broadly offered across a global and hybrid footprint, including part‑time and work‑from‑home arrangements. This flexibility can make certain entry‑level or side‑income roles feel reasonable for the work involved.
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Wellbeing & Lifestyle Benefits — Perks such as commuter benefits, wellness resources, snacks, gym or cell‑phone reimbursements, and tuition reimbursement are part of the package. Employee resource groups and volunteer opportunities add lifestyle and community support.
Dynata Insights
What We Do
Dynata is the world’s largest first-party data platform for insights, activation and measurement. With a reach that encompasses over 62 million consumers and business professionals globally, and an extensive library of individual profile attributes collected through surveys, Dynata is the cornerstone for precise, trustworthy quality data. The company has built innovative data services and solutions around its robust first-party data offering to bring the voice of the customer to the entire marketing continuum – from strategy, innovation, and branding to advertising, measurement, and optimization. The Dynata data platform, an all-in-one solution for insights, activation and measurement, leverages our robust data, innovative technology and more than 40 years’ experience as a pioneer in consumer and B2B insights. Our vision for the Dynata data platform is to automate the entire marketing continuum, with capabilities to target audiences; uncover insights; connect data; activate, measure and optimize campaigns; and analyze, visualize, publish and share those insights to drive your business growth. We’ve helped more than 6,000 market research firms, brands, media and advertising agencies, publishers, and consulting and investment firms around the world and in every industry accelerate transformation, enable better decision-making, and deliver revenue growth.
