AWS Databricks Lead

AWS Databricks Lead

Job Responsibilities

 

• 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.
  
   

Required Skills

 

• 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 .
  
   

Good to have skills

 

• 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

Company Background:

Virtusa Corporation is a leading worldwide provider of digital transformation services that accelerates business outcomes for Global 2000 businesses in banking and financial services, Healthcare & Life Sciences, Insurance, and telecommunications, technology, and media.  

With over 30,000 people and over 50 offices worldwide, we harness our deep design and engineering heritage to help global organizations tackle their toughest technology challenges. We help our clients identify strengths, uncover opportunities, and accelerate their path to digital transformation through the use of our Digital Transformation Studios (DTS).  

We are builders, makers, and doers with the technical skills and domain expertise to transform your business at scale and speed without disruption.  

Our unique Engineering First approach blends deep industry expertise and empowered, agile teams, to create holistic solutions that seamlessly move the business forward. We help clients engage with new technology paradigms to creatively build solutions that drive them to the forefront of their industries.  

We bring best in class digital engineering services to every engagement, with deep expertise in digital strategy and design; customer experience; analytics; mobile; cognitive/AI; full stack engineering, microservices, IoT; and cloud services.  

For more information, please visit

Job SummaryJob number: 261362Profession: OtherExperience: 15