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Mid-level product role in Bangalore, strong brand, generalist data-product skills and hybrid work amplify competition.
Role requires specialized data-platform, cloud, and ingestion expertise, limiting cross-industry transferability.
Explicit 5–8 years requirement plus mandated technical platform and cloud/data stack knowledge creates strict filters.
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Define and drive strategy for scalable, resilient, and efficient data onboarding and acquisition capabilities across enterprise data workflows (batch, online, streaming).
Collaborate cross-functionally with engineering, architecture, infrastructure, and data governance teams to gather and prioritize technical requirements, and manage product lifecycle for data management platform features.
Establish KPIs and lead continuous optimization of data onboarding performance including job success rates, latency, monitoring, validation, and quality frameworks.
5–8 years in product management with at least 3–5 years in a technical or platform-focused role.
Strong knowledge of data lake architectures, data warehousing, ETL/ELT pipelines (e.g., Snowflake, BigQuery, Kafka, Flink, Iceberg, dbt).
Experience with cloud platforms AWS, Azure, or GCP, including native data ingestion and observability services.
Work Experience Required: 5–8 years in product management with 3–5 years technical/platform focus. Notice period: Not explicitly mentioned in the JD.
Background in software engineering, data engineering, or computer science preferred, enabling a systems mindset and empathy for technical users.
Experienced in platform enablement and internal tooling product management, comfortable influencing cross-functional teams without direct authority.
Strategic thinker adept at stakeholder management, roadmapping, and applying data governance models in data ingestion and stewardship contexts.