ashby
Data Platform Architect
Gravie
Remote, USA
Full-time
Senior · 8+ years experience
Remote
USD 170250-283750 yearly / year
Discovered 1 weeks ago
KafkaDebeziumFlinkAWSSQLPython
Free
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KafkaDebeziumFlink
Role Overview
We are seeking a hands-on Data Platform Architect to serve as a leader in our ongoing data and digital transformation. This is a high-impact, senior individual contributor role that will lead through architectural depth, technical judgment, and design stewardship. You will be responsible for defining the technical blueprint for Gravie’s next generation operational data platform.
You will focus on unifying data that spans internal operational systems, vendors, and partners, evolving beyond traditional batch processing and point-to-point integrations to a near-real time data ecosystem. A history of multiple end-to-end implementations and successful collaboration with Product Engineers, Data Engineers, and Data Operations teams is essential.
Key Skills for This Role
KafkaDebeziumFlinkAWSSQLPython
Full Job Posting
A Little More About The Role:
We are seeking a hands-on Data Platform Architect to serve as a leader in our ongoing data and digital transformation. This is a high-impact, senior individual contributor role that will lead through architectural depth, technical judgment, and design stewardship. You will be responsible for defining the technical blueprint for Gravie’s next generation operational data platform.
You will focus on unifying data that spans internal operational systems, vendors, and partners, evolving beyond traditional batch processing and point-to-point integrations to a near-real time data ecosystem. A history of multiple end-to-end implementations and successful collaboration with Product Engineers, Data Engineers, and Data Operations teams is essential.
You Will:
Architectural Ownership: Design the end-to-end architecture for the operational data platform, using your experience with technologies like Kafka, Debezium and Flink to ingest and process data streams.
Canonical Modeling: Collaborate with partner teams to define and govern reference architectures and canonical data models (e.g., for claims and enrollment) that are durable, versioned, and support both internal and external usage. Define Data Contract standards and processes, working with partner teams to socialize and activate these new patterns.
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