Data Product Engineering

atDynataRemoteUS flagConnecticutFull-timeFull-stack EngineerSeniorLead$140k – $160k/year

Posted Aug 20

This is a fully remote position, open to applicants in Connecticut.

πŸ“‹ Description

β€’ Define and take ownership of the data product roadmap in alignment with business priorities and OKRs.

β€’ Collaborate with business stakeholders to identify, gather, and prioritize data product requirements.

β€’ Create comprehensive data product specifications, including schemas, SLAs, access controls, and documentation.

β€’ Work alongside data engineers to ensure the timely and high-quality delivery of data products.

β€’ Establish and monitor KPIs for data product usage, quality, and the business value delivered.

β€’ Manage the data product catalog and metadata to facilitate discoverability and self-service.

β€’ Lead the planning of data product sprints, backlog grooming, capacity management, and release management.

β€’ Act as the primary contact for data consumers across various business domains.

β€’ Promote the adoption of the data product framework and advocate for a data-as-a-product culture.

β€’ Coordinate with governance, information security, and compliance teams to ensure adherence to product-level policies.


⛳️ Requirements

β€’ Over 7 years of experience in product management, data management, or analytics roles.

β€’ More than 3 years of experience managing data products in a modern data lakehouse or data warehouse setting.

β€’ Strong grasp of data modeling, data lineage, and metadata management principles.

β€’ Familiarity with Agile/Scrum methodologies and product lifecycle management tools (Jira, Confluence).

β€’ Experience with business intelligence tools (Tableau, Power BI, Looker).

β€’ Proficient in SQL.

β€’ Exceptional stakeholder management and communication abilities.

β€’ Bachelor's degree in Business, Computer Science, Information Systems, or a related field.

β€’ Preferred: Experience with DataHub, Apache Atlas, or Alation for data cataloging.

β€’ Preferred: Understanding of data mesh and domain-oriented data ownership models.

β€’ Preferred: Relevant certifications such as CDMP, PMP, or Agile Product Owner.


🏝️ Benefits

β€’ Discretionary incentive program may be offered.

β€’ Medical and additional benefits based on full-time employment status.

β€’ A collaborative and inclusive culture.

β€’ Opportunities for professional growth.

β€’ Global Power Your Career conference for employees to connect, learn, and evolve.

β€’ High-Potential Program offering immersive professional development experiences.

β€’ Leadership Challenges that provide skills and insights for managers and aspiring leaders.

β€’ Accommodations available upon request for all facets of the selection process.

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