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Senior Data Platform Engineer
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Selby Jennings
Remote
Full-Time
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Job Description
About the job The Role 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. Key Responsibilities 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 Required Experience & Skills 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., Postgre