Data Product Engineer: Lakehouse & Analytics

Dynata; Westport (CT); On-site; USD 140,000 - 160,000; Full time

Benefits offered by this job

Medical benefits

Discretionary incentive program

Inclusive and accessible environment

Job summary

Dynata is seeking a Data Product Engineer who owns the lifecycle of data products on a lakehouse platform, bridging business needs with technical teams to deliver trusted data products for analytics, reporting, and AI/ML use cases.

You will define roadmaps, gather requirements from stakeholders, and collaborate with data engineers to ensure timely, high-quality delivery. You will establish KPIs, manage the data catalog, and lead sprint planning to enable self-service data across domains.

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

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

Skills

Product management

Data management

Analytics

SQL

Agile/Scrum

Stakeholder management

Communication

Education

Bachelor's degree in Business, Computer Science, Information Systems, or related field

Tools

Jira

Confluence

Tableau

Power BI

Looker

Job description

Dynata is seeking a Data Product Engineer who owns the lifecycle of data products on a lakehouse platform, bridging business needs with technical teams to deliver trusted data products for analytics, reporting, and AI/ML use cases.

You will define roadmaps, gather requirements from stakeholders, and collaborate with data engineers to ensure timely, high-quality delivery. You will establish KPIs, manage the data catalog, and lead sprint planning to enable self-service data across domains.