Senior Specialist, Epic Analytics Data Management

Architecture & Strategy

Design and evolve a scalable, secure, cloud-native lakehouse platform leveraging Databricks, Microsoft Fabric (OneLake, Lakehouse, Data Factory), and dbt.

Define modeling patterns, governance frameworks, and engineering best practices across the data lifecycle.

Lead design reviews and guide teams in adopting scalable architectural patterns.

Drive long-term platform strategy and evaluate emerging technologies.

Hands-on Engineering

Design and implement batch and streaming data pipelines for healthcare data sources (EHR, claims, HL7/FHIR, APIs, flat files, databases).

Develop modular ingestion, quality, lineage, metadata, and observability frameworks that scale across domains.

Produce clean, analytics-ready datasets and data models for BI, analytics, and machine learning workloads.

Implement HIPAA-aligned access patterns and secure handling of PHI.

Architect Databricks workloads (clusters, jobs, Unity Catalog, Delta Lake) for reliability, performance, and cost efficiency.

Integrate Databricks and Microsoft Fabric with Azure services and enterprise systems.

Leadership & Collaboration

Partner with product managers, data scientists, analysts, clinicians, and business stakeholders to translate healthcare data needs into scalable solutions.

Lead Cross-functional initiatives that modernize and unify the organization’s data ecosystem.

Mentor senior and mid-level engineers; elevate team capability through technical coaching and standards.

Drive roadmap planning, platform evolution, and long-term data strategy.

Champion engineering excellence, reliability practices, documentation quality, and governance.