Senior Data Engineer

Neovance provides technology-enabled patient access solutions for the biopharmaceutical industry. The Senior Data Engineer will design and own scalable data pipelines, data models, and semantic layers supporting near real-time analytics, enterprise Power BI reporting, and master data management. The role also involves data quality and governance, client consultation, and collaboration with global engineering and product teams.

Responsibilities:

• Design, build, and optimize scalable near real-time data pipelines using Databricks as the core compute and processing engine
• Architect and maintain foundational data models and semantic layers that power enterprise Power BI reporting and Master Data Management (MDM) initiatives
• Lead the extraction and migration of legacy data from on-premise and enterprise systems (Oracle, SQL Server, Siebel) into the Databricks Bronze layer
• Design and implement a comprehensive data quality framework to ensure high-fidelity, reliable data delivery across the platform
• Establish and enforce data governance, access controls, and security best practices using Unity Catalog
• Champion DataOps methodologies and version control standards across the engineering team
• Serve as a technical subject matter expert, consulting directly with internal stakeholders and external clients to gather requirements and deliver customer-facing data solutions
• Translate complex technical architecture into clear, actionable insights for non-technical audiences — including biopharma clients
• Partner daily with our India-based engineering team to coordinate sprint execution, manage handoffs, and maintain alignment across time zones
• Collaborate with US-based Product/Project Managers, Data Analytics, and Data Governance teams to prioritize and deliver against roadmap goals
• Actively participate in sprint planning, ticket management, and documentation using Jira, Confluence, and SharePoint

Requirements:

• 5+ years of dedicated experience in Data Engineering or a closely related field
• Expert-level, hands-on proficiency with Databricks — including pipeline architecture, performance tuning, and near real-time streaming — and Unity Catalog
• Deep expertise in data modeling and architecture designed to power enterprise Power BI deployments
• Advanced SQL, deep experience with SQL Server, and strong programming skills in Python and/or Scala
• Working knowledge of AWS for cloud infrastructure and storage integration
• Proven track record implementing DataOps, version control (Git), and robust data quality frameworks
• Demonstrated ability to work independently, navigate ambiguity, and present technical concepts to client stakeholders across global time zones
• Strong background in Master Data Management (MDM) delivery
• Hands-on experience with Microsoft Azure and/or Google Cloud Platform (GCP)
• Pharmaceutical domain expertise, including familiarity with industry reference data sets such as NPPES, NCPDP, Evaluate Pharma, Medi-Span, and Symphony
• Experience integrating with ERPs (NetSuite, SAP), HR Information Systems, and Salesforce
• Experience with enterprise integration platforms such as Boomi, Pega, or Informatica