Data Architect (26-02021) -

Data Architect, Healthcare Clinical Data Databricks Onshore

Onsite Requirement – Remote

Mandatory areas – Data Architect - 12+ years in data engineering or architecture, including at least 5 years in healthcare clinical data

Must Have skills

• Databricks
• FHIR
• Feature Store
• Data Governance
• RxNorm
• Clinical Data Architecture
• Data Validation
• Delta Lake
• Data Modeling

Data Architect, Healthcare Clinical Data & Databricks (Onshore) Role summary: We need a senior Data Architect with deep experience in healthcare clinical data and strong Databricks skills. This person will work directly with the client and lead the design of a clinical data platform for predictive analytics. They'll also coordinate the work of the offshore team. Key responsibilities 1. Act as the main technical contact for client stakeholders. Lead discovery workshops, gather requirements and present architecture decisions. 2. Understand the client's clinical data landscape and turn business and clinical needs into data models that support predictive analytics. 3. Design and own the end-to-end data architecture on Databricks, including the Lakehouse, Delta Lake, the medallion (Bronze/Silver/Gold) layers and Unity Catalog. 4. Structure clinical data (EHR/EMR, encounters, diagnoses, procedures, labs, medications) so it's ready for predictive use cases such as readmission risk, risk stratification and care gaps. 5. Work with data science teams to define feature engineering, feature stores and MLflow-based model pipelines. 6. Lead and coordinate the offshore team. Assign work, review designs and code, and keep delivery on track across time zones. 7. Set and enforce data governance, data quality, lineage and HIPAA/PHI security standards. 8. Give the client regular status updates, raise risks and dependencies early, and support governance reviews. 9. Take part in solutioning, estimates and roadmap discussions to help grow the engagement. Required skills & experience

• 12+ years in data engineering or architecture, including at least 5 years in healthcare clinical data.

Strong knowledge of clinical data standards

HL7, FHIR, CCD, ICD-10, CPT, LOINC, SNOMED and RxNorm.

Hands-on Databricks expertise

Spark/PySpark, SQL, Delta Lake, Unity Catalog, workflows and MLflow.

• Experience building data foundations for predictive analytics and machine learning in a healthcare setting.
• Good working knowledge of a cloud platform (Azure or AWS) and HIPAA compliance requirements.
• Excellent communication and stakeholder management skills, with proven experience leading onshore-offshore delivery models.