Staff Data Platform Engineer
A leading Insurtech organization made up of a few hundred experts across actuarial science, engineering, data science, and clinical practice is looking to bring on a staff level data platform engineer. Together, the team builds category‑defining, data‑driven SaaS products used by insurance, health IT, and life sciences clients to make high‑impact decisions at scale.
As a Staff Data Engineer, you are a technical authority and multiplier. You lead through architecture, influence, and execution rather than people management. You will drive the evolution of a mission‑critical data platform that must be scalable, highly secure, auditable, and performant.
This role is deeply hands‑on and centered on Databricks + AWS, with real ownership over platform direction.
Requirements:
- 15+ years designing and building enterprise data platforms (data lakes, lakehouses, warehouses, data products)
- Expert‑level experience with Databricks on AWS (Delta Lake, Delta Live Tables, Unity Catalog)
- Proven ownership of platform architecture decisions spanning scale, performance, reliability, and cost
- Deep hands‑on experience with relational and non‑relational databases
(SQL Server, PostgreSQL, DynamoDB, DocumentDB or similar) - Extensive experience working with healthcare and insurance data, including PHI/PII
- Strong working knowledge of healthcare data standards:
FHIR, HL7, C‑CDA - Experience applying clinical coding systems / ontologies:
ICD‑10, SNOMED, LOINC, RxNorm, NDC - Expert‑level data modeling for structured and unstructured data
- Experience building batch, streaming, and event‑driven pipelines
- Strong background in data governance, lineage, auditability, and security
- Hands‑on experience with Infrastructure as Code (Terraform, GitHub)
- Proven collaboration with Data Science teams, enabling analytics and AI‑driven use cases
- Experience in Insurtech, insurance, healthcare, or life sciences
- AWS Solution Architect or equivalent certification
- Prior ownership of platforms serving multiple external clients
Data Platform Architecture
- Lead the design and long‑term evolution of enterprise data lakes, lakehouse architectures, and warehouses
- Establish and enforce enterprise medallion architectures (Bronze / Silver / Gold)
- Make architecture trade‑offs balancing performance, cost, governance, and developer velocity
Databricks & Cloud Engineering
- Own advanced Databricks capabilities (Delta Live Tables, Unity Catalog)
- Build and operate scalable, production‑grade systems on AWS
- Implement observability, monitoring, and cost transparency
- Drive Infrastructure as Code standards using Terraform and asset bundles
Healthcare & Insurance Data Enablement
- Design pipelines for large‑scale healthcare and insurance datasets
- Implement standards‑based data models (FHIR, OMOP, HL7)
- Support data containing identified and de‑identified PHI/PII with strict access controls
Governance, Security & Compliance
- Implement governance frameworks for lineage, auditability, quality, and stewardship
- Enforce least‑privilege access and data security best practices
- Ensure platform compliance with healthcare and insurance regulations
Pipelines, APIs & Integration
- Build robust ETL/ELT pipelines using SQL, Python, Scala, and Databricks tooling
- Design event‑driven ingestion and API‑based integrations
- Develop internal APIs and dataset‑backed services for downstream systems
- Integrate with external systems (financial, HR, CRM, vendor platforms)
Staff‑Level Leadership
- Act as a thought leader and domain expert
- Partner across engineering, data science, analytics, product, and business teams
- Communicate complex technical trade‑offs clearly to senior, non‑technical stakeholders
This position is open to remote work. Applicants must be willing to travel to the office in Brookfield, WI quarterly.
FAQs
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