Role Description

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.

• 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.
• Governance & Security: Establish and enforce data governance frameworks, internal and external access controls (RBAC), with HIPAA compliance needs in mind.
• Technology Selection: Lead the evaluation and selection of supporting real-time data technologies (e.g., that align with Gravie's compliance needs and strategic direction).
• Technical Leadership: Serve as the architectural authority for complex design decisions, identifies tradeoffs on time, cost, and complexity, and proactively identify architectural risks before they materialize.
• Mentorship: Provide technical coaching and mentorship to Data Producer & Consumer teams.
• Operate at the forefront of Gravie’s Data Platform innovation–with an eye towards activating practical AI use cases.

Qualifications

• 8-15 years of experience architecting and operating large-scale data integrations, streaming pipelines, and operational data movement in a cloud environment.
• Strong hands-on experience with Kafka, Flink, and Debezium (or similar), and an understanding of stateful stream processing and "exactly-once" delivery semantics.
• Extensive experience with AWS.
• Deep understanding of data observability concepts like freshness, distribution, volume, schema, and lineage, and how to apply them to real-time healthcare streams.
• Prior experience in a healthcare setting, with a deep understanding of HIPAA, ePHI, and the requirements for maintaining secure data exchange and access with external parties.
• Expert-level proficiency in SQL and Python. A foundational knowledge of JVM-based languages like Java is highly preferred.
• Demonstrated ability to take complex, ambiguous problems and independently drive them to concrete, measurable solutions that align with business goals.
• Success in driving results through influence and collaboration, with the ability to translate technical concepts for business stakeholders and executive leadership.
• Previous venture-backed start-up company experience.

Benefits

• Great overall employee experience with opportunities for career growth.
• Meaningful mission-driven work.
• Above average total rewards package.
• Salary range: $170,250 - $283,750 annually.
• Numerous factors including, but not limited to, education, skills, work experience, certifications, etc. will be considered when determining compensation.
• Unique benefits program including alternative medicine coverage, generous PTO, up to 16 weeks paid parental leave, paid holidays, a 401k program, transportation perks, education reimbursement, and paid paw-ternity leave.