Data Architect

EXP : 10-15 Years Only

Title : Data Architect
Location: Philadelphia, PA ( 3 days Onsite)

This role offers the opportunity to lead and build enterprise scale Azure data platforms using a modern lakehouse architecture. Candidates gain deep exposure to Azure, Databricks, advanced data modeling, and governance while working on complex, high impact healthcare data. It strengthens long term career growth as a senior data engineering or architecture leader in a high demand domain

Required Skills & Experience Core Technical Expertise

10 15 years of experience in data engineering and hands on technical delivery roles, preferably in Healthcare Payer / Medicaid environments

Extensive, Azure first cloud experience, including solution architecture, implementation, and operations

Strong hands on expertise with Azure data platform services, including:

• Azure Data Lake Storage (ADLS Gen2), Azure Databricks, Azure Data Factory (ADF), Azure Synapse Analytics, Azure SQL / SQL Server, Azure Key Vault, Azure DevOps (Repos, Pipelines, Boards)
• Strong proficiency in: SQL (advanced querying, tuning, optimization) , Python and PySpark, ETL / ELT development

Strong data modeling experience, including:

• Conceptual, logical, and physical modeling , Dimensional modeling (star/snowflake schemas), Experience handling SCDs and historized data
• Deep understanding of: Cloud native Data Lake / Lakehouse architectures , Batch and streaming processing patterns , Incremental processing and CDC

Proven experience reviewing and optimizing :

• Data models , Transformation logic, Schema evolution strategies

Experience implementing cloud and data governance controls across Dev/Test/Prod,Agentic IDE & AI Assisted SDLC.

Experience:

Proven experience architecting and delivering systems using agentic IDEs

• Ability to: Define architectural and data modeling intent that agents can follow
• Break features into agent executable tasks
• Govern AI autonomy (guardrails, permissions, reviews)
• Integrate agentic workflows into CI/CD pipelines

• Strong understanding of: o Security implications of autonomous code execution
• Compliance, auditability, and traceability o AI assisted SDLC operating models

Healthcare Domain Expertise

Strong experience in Healthcare Payer / Medicaid data environments

Familiarity with: o Claims o Member o Provider o Eligibility data

Understanding of HIPAA, PHI, and healthcare compliance requirements

Education:

Engineering Degree BE / ME / BTech / M Tech / B.Sc. / M.Sc.

Technical certification in multiple technologies is desirable.

Salary : $65