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Metro Bangalore and mid-level product title, but specialized data-platform focus reduces applicant density.
High due to niche data-platform product skills, cloud and ingestion expertise required.
Explicit 5–8 years plus platform-specific technical experience and toolset requirements increase filtering strictness.
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Define and execute the strategy and roadmap for enterprise-scale data onboarding and ingestion capabilities, including monitoring and validation frameworks.
Collaborate cross-functionally with engineering, architecture, infrastructure, DevOps, and product teams to translate needs into scalable platform features.
Oversee end-to-end product lifecycle management for Data Management platform features, focusing on metrics such as data onboarding performance, latency, and success rates to drive continuous optimization.
5-8 years of product management experience, including 3-5 years in technical or platform-focused roles.
Strong understanding of data lake architectures, data warehousing, and ETL/ELT pipelines (e.g., Snowflake, BigQuery, Kafka, Flink, Iceberg, dbt).
Expertise in cloud platforms (AWS, Azure, GCP) and their native data ingestion and observability services.
Work Experience Required: 5-8 years in product management including technical platform roles. Notice period: Not explicitly mentioned in the JD.
Experienced in technical product management with a background in software engineering, data engineering, or computer science.
Strategic thinker with a systems mindset and empathy for technical users, capable of influencing cross-functional teams without authority.
Skilled in Agile methodologies, stakeholder management, and knowledgeable of data governance models and data quality frameworks.