Databricks Integration Lead

New York, Inc.
Indianapolis, IN, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Amazon Web Services Application Integration Architecture Microsoft Azure Continuous Integration Data Validation Data Integration Data Mapping Github Apache Hive Performance Tuning E2e Testing Salesforce.Com
+11 more
Simple Object Access Protocol (SOAP) Vault (Revision Control System) Systems Integration Google Cloud Data Lakes Pyspark Veeva Terraform Data Pipelines GXP Databricks

Job description

This role involves managing integrations across 5 Veeva CRM organizations and 46 integration points, optimizing existing integrations, and ensuring a seamless transition to Vault CRM.

The ideal candidate has deep, hands-on Databricks expertise, strong integration architecture experience, and a background in pharmaceutical or life sciences environments. This is a technical leadership role requiring active involvement in architecture, pipeline development, and engineering team oversight., * Lead end-to-end integration architecture across Databricks, Veeva CRM, Vault CRM, and connected systems.

  • Analyze and optimize 46 integration points, identifying opportunities for consolidation and standardization.
  • Design scalable data pipelines using Databricks, PySpark, Spark SQL, and Delta Lake.
  • Establish standards for medallion architecture, Unity Catalog, workflow orchestration, and CI/CD.
  • Develop data mapping and integration strategies to support the Veeva CRM to Vault CRM migration.
  • Provide hands-on technical guidance, review pipelines, and troubleshoot complex integration challenges.
  • Lead engineering teams, including offshore resources.
  • Ensure data validation, governance, regulatory compliance, and successful migration cutover.

Requirements

  • 10+ years of experience in data integration, engineering, or architecture.
  • 5+ years of deep, hands-on Databricks experience in enterprise environments.
  • Expertise in PySpark, Spark SQL, Delta Lake, Delta Live Tables, Auto Loader, Workflows/Jobs, and Unity Catalog.
  • Hands-on experience with Veeva CRM integrations and data models.
  • Experience in pharmaceutical or life sciences commercial environments, including HCP/HCO data, call activity, samples, and consent.
  • Experience delivering complex, multi-system integration projects.
  • Strong API integration experience (REST/SOAP), data pipelines, and performance optimization.
  • Proven technical leadership experience, including managing distributed or offshore engineering teams.
  • Familiarity with GxP validation and regulated environments.

Preferred Qualifications

  • Experience with Vault CRM or Veeva CRM to Vault CRM migrations.
  • Databricks certifications.
  • Experience with Veeva Network, OpenData, or multi-org integrations.
  • Experience with Terraform, Azure DevOps, GitHub Actions, or cloud platforms (AWS, Azure, GCP).

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