Own the product roadmap and execution for core data platform capabilities.
Partner with data and application engineering teams to design and deliver scalable data ingestion and transformation pipelines.
Drive platform patterns that support batch and streaming data processing and high-quality, reliable data.
Ensure data is modeled and stored to support analytics, reporting, and downstream consumption.
Enable data access via APIs, connectors, and integrations for internal and external consumers.
Collaborate with analytics and reporting teams to ensure the platform supports dashboards and insights.
Translate technical concepts into clear product requirements, priorities, and delivery plans.
Balance delivery speed with long-term platform health and scalability.

Requirements

7–10 years of experience in technical product management or data platform–focused roles.
Strong understanding of modern data platform concepts, including data pipelines, transformations, and data warehousing.
Familiarity with streaming and event-driven architectures and tools such as Kafka, Databricks, Snowflake, Flink, or similar technologies.
Solid foundation in data modeling and traditional relational database systems.
Experience designing systems that make data consumable via APIs, integrations, or reporting tools.
Proven ability to work effectively with senior engineers and cross-functional stakeholders.
Strong product judgment and the ability to make informed tradeoffs across scope, performance, and time-to-market.
Excellent written and verbal communication skills.

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

data platform managementdata ingestiondata transformationdata modelingdata warehousingAPI designdata pipelinesstreaming architecturesevent-driven architecturesdata analytics

Soft Skills

product judgmentcommunicationcollaborationstakeholder managementtradeoff analysisprioritizationdelivery planningproblem-solvingcross-functional teamworktechnical translation