Senior Data Platform Engineer

We are seeking a remote Senior Data Engineer - Data Platform to help design, build, and operate a modern, secure, cloud‑native data platform supporting healthcare analytics and external data products. This role focuses on enterprise‑scale data engineering, governance, and platform reliability in highly regulated environments.

This is a hands‑on, high‑ownership role with close collaboration across software engineering, analytics, data science, and business teams. You will influence data architecture decisions and play a critical part in how data is delivered, secured, and consumed across the organization.

• Design and implement scalable data warehouse and lakehouse solutions using Databricks
• Build and evolve enterprise‑level medallion architectures optimized for performance and reliability
• Architect, build, and maintain batch and near‑real‑time data pipelines
• Develop ETL/ELT workflows using SQL, Python, Scala, Delta Live Tables, and cloud‑native tooling
• Manage ingestion and transformation of large‑scale structured and unstructured healthcare datasets
• Configure and maintain enterprise data governance, lineage, and data quality frameworks
• Implement strong data security controls for sensitive, identified, and de‑identified PHI/PII data
• Design and maintain standardized data models aligned with healthcare frameworks (e.g., FHIR, OMOP)
• Partner with engineering, analytics, data science, and business stakeholders to gather requirements and deliver solutions
• Build infrastructure‑as‑code using Terraform and support cloud platform deployments
• Support data platform migrations and integrations using tools such as Fivetran and custom solutions
• Monitor, optimize, and improve pipeline reliability, performance, and cost efficiency
• Develop analytics‑enablement tools that help internal teams accelerate insights and product innovation
• Identify and implement platform and process improvements through automation and architectural enhancements
  

• 5 years of experience designing and building enterprise data platforms (data warehouses, data lakes, or data products)
• Advanced hands‑on experience with Databricks and AWS‑based data solutions
• Strong experience with relational and non‑relational databases (e.g., PostgreSQL, SQL Server, MongoDB)
• Experience managing large, multi‑source healthcare datasets (structured and unstructured)
• Expertise in building, monitoring, and optimizing data pipelines and ETL frameworks
• Experience with data security, governance, performance tuning, and release management
• Familiarity with healthcare interoperability standards (FHIR, C‑CDA, HL7)
• Knowledge of clinical vocabularies and ontologies (ICD‑10, SNOMED, LOINC, RxNorm, NDC)
• Experience deploying infrastructure‑as‑code using Terraform and Git‑based workflows
  

• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field
• Experience working within health insurance or life sciences domains
• Exposure to regulated environments requiring strong data privacy and compliance practices
• Cloud architecture or solution certifications (AWS and/or Azure)