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We are seeking a highly experienced
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
. 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.
Architect and implement cloud-native data solutions using AWS services including:
Design secure multi-account architectures and governance models.
Establish infrastructure automation practices using Terraform, CloudFormation, or AWS CDK.
Drive optimization of cloud resources through cost management, workload tuning, and automation.
Partner with cloud platform teams to ensure operational excellence and security compliance.
Lead adoption of software engineering best practices across data engineering teams.
Design and implement CI/CD pipelines for data platforms using GitHub Actions, DevOps, GitLab CI, or Jenkins.
Establish automated deployment frameworks across Development, Test, Validation, and Production environments.
Implement unit testing, integration testing, regression testing, and automated quality gates.
Drive code quality initiatives including:
Standardize engineering practices to improve delivery velocity and platform reliability.
Promote Infrastructure as Code and automated environment provisioning.
Establish enterprise data quality frameworks and monitoring capabilities.
Implement end-to-end data lineage, metadata management, and observability solutions.
Collaborate with governance, security, quality, and compliance teams to ensure adherence to corporate standards.
Support implementation of:
Ensure compliance with:
Promote secure handling of sensitive healthcare and research data.
Provide technical leadership and guidance to data engineers across multiple programs and delivery teams.
Lead architectural reviews, design discussions, and engineering governance forums.
Mentor engineers in Databricks, Spark, AWS, DataOps, and software engineering best practices.
Partner with:
Influence strategic data platform decisions and long-term technology roadmaps.
Drive delivery excellence through collaboration, coaching, and continuous improvement.
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 to 5 years of experience architecting enterprise-scale data solutions on Databricks / AWS.
Deep expertise in:
Strong AWS experience across compute, storage, security, and monitoring services.
Advanced Python development experience and software engineering practices.
Proven experience building large-scale enterprise data pipelines and Lakehouse architectures.
Expertise in CI/CD implementation and Git-based development practices.
Experience implementing automated unit testing and quality assurance frameworks.
Strong understanding of distributed systems and performance optimization.
Experience with Infrastructure as Code using Terraform or CloudFormation, or AWS CDK.
Excellent communication, stakeholder management, and leadership skills.
Life Sciences, Pharmaceutical, Healthcare, or Clinical data domain experience.
Experience supporting GxP-regulated environments.
Knowledge of:
Experience with ML/AI data platforms and MLOps foundations.
Exposure to streaming technologies such as Kafka, Kinesis, or Event Hubs.
Databricks Certified Data Engineer Professional.
AWS Solutions Architect Professional.
AWS Data Analytics Specialty or equivalent certifications.
IND - Bengaluru
Employee
Regular
Full time
visioning.
How to apply for Principal Data Engineer at Takeda?
Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.
What is the salary for this role?
Salary details will be discussed during the interview.
What experience is required?
4+ years of experience is required.
Is this position still open?
Yes, currently active and accepting applications.
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