Job Title:
Data Product Owner
Contract Duration:
6 Months (Extendable)
Client Domain:
HRMS Solutions for Public Sector Organizations
About The Role
We are seeking an experienced Product Owner with strong expertise in Snowflake or Databricks to oversee the delivery of an enterprise data lake initiative. This role combines product ownership, technical understanding, and data platform knowledge. The ideal candidate will collaborate closely with engineering, architecture, and business teams to convert requirements into actionable plans and drive the successful deployment of a scalable enterprise data platform.
Key Responsibilities
Lead the end-to-end delivery of an enterprise data lake built on Snowflake or Databricks—from initial setup through production release
Translate business and data requirements into well-defined user stories, acceptance criteria, and sprint deliverables
Oversee the development of data ingestion and integration pipelines from SaaS platforms and other enterprise systems
Manage the full development lifecycle, ensuring timely completion of milestones and deliverables
Prioritize and maintain the product backlog based on business value, feasibility, and operational needs
Develop and manage a comprehensive delivery roadmap, including MVP releases and phased enhancements
Collaborate with cloud infrastructure and DevOps teams to ensure the platform is scalable, secure, and cost-efficient
Monitor and report key platform performance metrics such as pipeline success rates, processing times, and system reliability
Ensure a smooth transition to analytics and data science teams through proper documentation and operational readiness
Desired Skills And Qualifications
Proven experience as a Product Owner or Product Manager in data platforms, analytics, or cloud-based systems
Strong expertise in Snowflake or Databricks, including data modeling, data pipelines, and cloud architecture
Experience working with engineering, data, and DevOps teams in Agile/Scrum environments
Ability to translate complex business requirements into actionable technical plans
Familiarity with data ingestion, ETL/ELT workflows, and API-based integrations
Excellent communication and stakeholder management skills
Experience in HRMS or large-scale enterprise environments is a strong plus