Data Product Engineering

The Data Product Engineer owns the lifecycle of data products built on thelakehouseplatform. 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  

▸  Defineand own the data product roadmap aligned to business priorities and OKRs 

▸  Workwith business stakeholders toidentify, capture, and prioritize data product requirements 

▸  Developdata product specifications, including schemas, SLAs, access controls, and documentation 

▸  Collaboratewith data engineers to ensuretimelyand quality delivery of data products 

▸  Establishand track KPIs for data product usage, quality, and business value delivered 

▸  Managethe data product catalog and metadata to enable discoverability and self-service 

▸  Leaddata product sprint planning, backlog grooming, capacity management, and release management 

▸  Serveas the primary point of contact for data consumers across business domains 

▸  Driveadoption of the data product framework and advocate for data-as-a-product culture 

▸  Coordinatewith governance, infosec, and compliance teams to ensure product-level policies are enforced 

REQUIRED QUALIFICATIONS  

▸  7+ years ina productmanagement, data management, or analytics role 

▸  3+ years managing data products in a modern datalakehouseor data warehouse environment 

▸  Strongunderstanding of data modeling, data lineage, and metadata management 

▸  Experiencewith Agile/Scrum methodologies and product lifecycle tools (Jira, Confluence) 

▸  Familiaritywith BI tools (Tableau, Power BI, Looker) and SQLproficiency 

▸  Excellentstakeholder management and communication skills 

▸  Bachelor'sdegree in Business, Computer Science, Information Systems, or related field 

PREFERRED QUALIFICATIONS  

▸  ExperiencewithDataHub, Apache Atlas, or Alation for data cataloging 

▸  Knowledgeof 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.

Originally posted on Himalayas