53K–83K EUR / year
Senior Data Platform Engineer
DataWorkplace — unknown
Published on 2026-09-10
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About this role
Build and operate Sword’s streaming lakehouse and data platform, enabling reliable, low-latency data access across clinical, operations, AI, and product teams. Shape its APIs and self-service capabilities, including interfaces for AI agents, while ensuring governance and auditability in a regulated healthcare environment.
About the company
Sword Health is a digital musculoskeletal care company that helps employers and health plans deliver AI-powered physical therapy and related care programs.
The team
Data Platform Team
Stack
IcebergDelta LakeHudiSnowflakeStarburstDatabricksFlinkSpark
What you'll do
- Design and evolve the streaming lakehouse.
- Build and operate reliable, low-latency distributed streaming pipelines.
- Own durable workflows coordinating data movement across systems.
- Develop API-first platform interfaces for data producers and consumers.
- Evaluate and integrate vendor data platforms.
- Contribute to self-service and agent-facing interfaces.
- Partner with data teams on contracts, governance, and lineage.
- Build AI-ready data infrastructure and use AI tools to improve development and documentation.
What we're looking for
- Experience designing and operating production data platforms at scale.
- Hands-on lakehouse table format experience; Iceberg preferred, with knowledge of metadata, snapshots, manifests, compaction, and write modes.
- Understanding of data catalogs and separation of compute from storage.
- Architectural experience with Snowflake, Starburst, or Databricks.
- Distributed processing experience with Flink or Spark, including tuning and troubleshooting.
- Familiarity with durable execution systems or their core concepts.
- Production API experience, including contracts, versioning, retries, rate limiting, and observability.
- Strong Kafka and event-driven architecture knowledge; experience with regulated data and a self-service platform mindset.
Nice to have
- Experience with open or REST catalogs such as Polaris, Nessie, or Unity.
- Prometheus, Grafana, or OpenTelemetry experience.
- Agentic or AI-facing APIs, including MCP-style interfaces.
- HIPAA, FedRAMP, or SOC 2 experience.
- Exposure to dbt, DataHub, or data contract tooling.
Benefits
- Compensation includes base pay, variable compensation, and estimated equity value; country-specific benefits are provided separately.