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Reporting & Snowflake Product Manager
Location
Canada
Posted
5 days ago
Salary
0
Seniority
Lead
No structured requirement data.
Job Description
Reporting & Snowflake Product Manager
RELQ Technologies
Role Description We are looking for an experienced Product Owner with strong expertise in Snowflake or Databricks to lead the delivery of an enterprise data lake initiative. This role requires a mix of product ownership, technical understanding, and data platform experience. The ideal candidate will work closely with engineering, architecture, and business teams to translate requirements into actionable deliverables and ensure successful rollout of a scalable data platform. - Lead the delivery of an enterprise data lake built on Snowflake or Databricks from initial setup to production deployment. - Translate business and data requirements into clear user stories, acceptance criteria, and sprint plans. - Drive the creation of data ingestion and integration pipelines from SaaS applications and other enterprise systems. - Manage the full development lifecycle, ensuring milestones and deliverables are completed on time. - Prioritize the product backlog based on business value, technical feasibility, and operational needs. - Build and maintain a detailed delivery roadmap, including MVP and phased releases. - Collaborate with cloud infrastructure and DevOps teams to ensure scalable, secure, and cost-effective environments. - Track and report key performance indicators such as pipeline success rates, data processing speed, and platform reliability. - Ensure smooth handover to analytics and data science teams with proper documentation and operational readiness. Qualifications - Proven experience as a Product Owner or Product Manager in data platforms, analytics, or cloud-based systems. - Strong understanding of Snowflake or Databricks including data modeling, pipelines, and cloud architecture. - Experience working with engineering, data, and DevOps teams in Agile environments. - Ability to translate complex business needs into technical execution plans. - Familiarity with data ingestion, ETL or ELT workflows, and API based integrations. - Strong communication skills and the ability to collaborate with cross-functional stakeholders. - Previous experience in HRMS or large-scale enterprise environments is an advantage.
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