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Job Description

Principal Data Engineer
About the Role
We are seeking a highly experienced Principal Data Engineer to lead the design, architecture, and implementation of enterprise-scale data platforms that power Takeda's R&D;, Clinical, Regulatory, Commercial, and Enterprise Analytics ecosystems.
As a technical leader, you will drive the strategic direction of data engineering, define architecture standards, and deliver scalable, secure, and compliant data solutions using Databricks, AWS, PySpark, Delta Lake, and modern DataOps practices. You will partner with business stakeholders, solution architects, product owners, data scientists,



and engineering teams to build reliable data products that accelerate innovation and data-driven decision making across Takeda.
This role requires deep expertise in modern cloud data platforms, distributed data processing, software engineering practices, and cross-functional leadership. You will mentor engineering teams, establish best practices, and ensure enterprise data solutions meet quality, scalability, security, and regulatory requirements.

Key Responsibilities
Data Architecture & Platform Leadership
- Lead architecture, design, and implementation of enterprise data platforms on Databricks and AWS.
- Define and govern enterprise data engineering standards, reference architectures, and reusable frameworks.
- Design scalable Lakehouse architectures using Delta Lake, Unity Catalog, Databricks Workflows, and AWS cloud services.
- Collaborate with enterprise architects and business stakeholders to translate business requirements into scalable technical solutions.
- Drive platform contemporary

📌 Principal Data Engineer (Bengaluru)
🏢 2028 Takeda Innovations India
📍 Bengaluru