Principal Data Engineer
Takeda Pharmaceutical Company Limited (company site, opens in a new tab)12+ yrsBengaluruOn-siteDirect career pageEst. 45–75 LPA
Posted on 7 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design, architecture, and implementation of enterprise-scale data platforms using Databricks, AWS, PySpark, Delta Lake, and modern DataOps practices.
- Define and govern enterprise data engineering standards and reusable frameworks to build scalable, secure, and compliant data solutions across R&D, Clinical, Regulatory, Commercial, and Enterprise Analytics domains.
- Provide technical leadership, mentor engineering teams, and collaborate cross-functionally to ensure data platform excellence, quality, and regulatory compliance.
Minimum Requirements
- Bachelor's or master's degree in Computer Science, Engineering, Information Systems, or related field.
- 12+ years of experience in Data Engineering, Big Data, Data Platforms, or Cloud Engineering.
- 4-5 years of experience architecting enterprise-scale data solutions on Databricks and AWS.
- Expertise required in Databricks, Delta Lake, Unity Catalog, Spark, PySpark, SQL, advanced Python, AWS services, CI/CD practices, Infrastructure as Code (Terraform, CloudFormation, or AWS CDK).
Ideal Candidate Profile
- Senior technical leader with deep expertise in modern cloud data platforms, distributed processing, and software engineering best practices.
- Experienced in leading architecture and data platform modernization in regulated environments, ideally with Life Sciences or healthcare data domain exposure.
- Able to drive cross-functional collaboration and establish standards that accelerate reliable data product delivery and operational excellence.