Databricks Snowflake Architect
Job in
Piscataway, Middlesex County, New Jersey, 08854, USA
Listed on 2026-10-15
Listing for:
Virtusa
Full Time
position Listed on 2026-10-15
Job specializations:
-
IT/Tech
Data Engineering, Data Warehousing, Information Security & Data Protection, Data Analyst
Job Description & How to Apply Below
- Design modern data architectures on Databricks, Snowflake, and Microsoft Fabric.
- Lead end-to-end data ingestion, transformation, and modeling using SQL, Spark, and Python.
- Working knowledge of various governance patterns: lineage, catalog.
- Contribute to pre-sales through RFP responses, estimations, architecture diagrams, and proposals.
- Design modern data architectures on Databricks, Snowflake, and Microsoft Fabric.
- Lead end-to-end data ingestion, transformation, and modeling using SQL, Spark, and Python.
- Support healthcare data domains: claims, eligibility, provider, member, clinical data.
- Working knowledge of various governance patterns: lineage, catalog.
- Contribute to pre-sales through RFP responses, estimations, architecture diagrams, and proposals.
- Strong hands-on experience with Databricks (Spark/Delta), Snowflake, or Microsoft Fabric.
- Cloud experience atleast with one of the major providers Azure / AWS/GCP. Preferably GCP
- Strong SQL, PySpark/Python, and data modeling (dimensional, lakehouse).
- Working experience in at least one healthcare data domain: claims, provider, eligibility, utilization, or clinical data.
- Solid understanding of data governance, security, HIPAA, PHI/PII compliance.
- Ability to lead client conversations and explain architectural trade-offs clearly.
- Exposure to FHIR/HL7, interoperability, and payer/provider workflows .
- Must have implemented data products on a Lakehouse either in a data mesh or data fabric construct in a production environment
- Must have utilized AI tools for data engineering and data analytics use cases like data copilot, AI/BI etc.
- Must have experience in managing implementation life cycle from discovery through hyper care, transient and steady state data ops, and optimization
- Ability to participate and advise clients on well architected framework together with partners like databricks, snowflake etc.
- Strong understanding and implementation experience of production like synthetic data sets in non-production environments to facilitate functional and integration tests
- Exposure to leading healthcare source systems like Pega, EHR, Salesforce health cloud and common information Data Model
- Exposure to managing and processing unstructured data sets in healthcare to derive meaningful insights and enhance experience
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