Technical Product Owner

Job Description:

• Assist in the definition of release scope and objectives, involving all relevant stakeholders and ensuring technical feasibility.
• Drive integration with popular tools and services in the broader data orchestration ecosystem.
• Ensure that releases are delivered on time, within scope and within budget.
• Measure and track project performance using appropriate tools and techniques.
• Manage the relationship with the client and all stakeholders.

Required:

• 8-10 years of experience managing product strategies and roadmaps
• Must have technical expertise in Databricks.
• Possesses in-depth knowledge of data processing techniques and handling large data sets.
• Proficient in Pyspark, Spark SQL & Spark streaming for processing data for various use cases, creation of an optimized storage layer, scheduling features for job automation.
• Solid understanding of cloud infrastructure (AWS, Azure)
• Working knowledge of Apache Spark's execution model, query planning and execution and familiarity with Big Data technology
• Strong data analysis and operationalization skills (SQL, rollups, building operational dashboards)
• Own end-to-end product management processes.
• Meet with client teams (business, technical and quality) to take detailed briefs and clarify specific requirements.
• Knowledge of Agile, SAFe and Waterfall software development methodologies
• Highly proficient in product roadmap planning in alignment to business goals and objectives; maintain comprehensive product related documentation.
• Track project deliveries and report and escalate to management as needed.
• Delegate project tasks based on individual strengths, skill sets and experience levels.

Desired:

• Certified Scrum Product Owner (CSPO), Certified Scrum Master (CSM) is a plus.