Gravie

Gravie is reinventing health benefits with transparent, affordable solutions like Comfort® plan, ensuring easy access to care for employers and individuals.

Insurance

Financials

251-1K (270)

Founded 2013

$177M raised

13 open positions

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Data Platform Architect

2 months, 2 weeks ago

Anywhere

Full-time

Lead

Data Engineer

DevOps and Infrastructure

AWS Flink HIPAA Java Kafka Python SQL

Apply Now

Gravie

Gravie is reinventing health benefits with transparent, affordable solutions like Comfort® plan, ensuring easy access to care for employers and individuals.

Insurance

251-1K

Founded 2013

$177M raised

View All Jobs 13

Description

Design the end-to-end architecture for Gravie’s operational data platform, enabling ingestion and processing of streaming data across systems and partners.
Lead technology evaluation and selection for real-time data infrastructure that aligns with Gravie’s compliance and strategic requirements.
Define, socialize, and govern canonical data models and reference architectures (e.g., claims and enrollment) to support internal and external usage.
Define data contract standards and processes and work with partner teams to activate those patterns across producers and consumers.
Establish and enforce data governance frameworks, RBAC, and security controls with HIPAA compliance in mind.
Drive data observability practices (freshness, distribution, volume, schema, lineage) and leverage Data Reliability OKRs to influence change.
Act as the architectural authority for complex design decisions: identify tradeoffs, surface risks early, and provide design stewardship.
Provide technical coaching and mentorship to Data Producer and Consumer teams and collaborate closely with Product Engineers, Data Engineers, and Data Operations.
Operate at the forefront of data platform innovation, translating platform capabilities into practical AI and operational use cases.

Requirements

8–15 years of experience architecting and operating large-scale data integrations, streaming pipelines, and operational data movement in a cloud environment.
Hands-on experience with stream processing technologies such as Kafka, Flink, and Debezium (or similar), including stateful processing and exactly-once delivery semantics.
Extensive experience with AWS and cloud-native data infrastructure.
Deep understanding of data observability concepts (freshness, distribution, volume, schema, lineage) and experience applying them to real-time healthcare streams.
Prior experience in healthcare with knowledge of HIPAA, ePHI, and secure data exchange requirements with external parties.
Expert-level proficiency in SQL and Python, with foundational knowledge of JVM-based languages (e.g., Java) preferred.
Proven history of multiple end-to-end implementations and successful collaboration with Product Engineers, Data Engineers, and Data Operations teams.
Demonstrated ability to take complex, ambiguous problems to concrete, measurable solutions that align with business goals.
Strong communication skills with success driving results through influence and translating technical concepts for business and executive stakeholders.
Experience at or with venture-backed startups (preferred).

Benefits

Salary range $170,250–$283,750 annually.
Comprehensive health and wellness benefits including alternative medicine coverage.
Generous PTO plus paid holidays.
Up to 16 weeks paid parental leave.
401(k) program.
Transportation perks and education reimbursement.
Paid paw-ternity leave.
Remote full-time role with opportunities for career growth and mission-driven work.

Interested in this position?

Apply directly on the company website

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