Job Description
Job Overview:
We are seeking a highly skilled and experienced Data Management Lead with expertise in data management principles, cloud technologies (AWS, Databricks, Informatica, etc.), software engineering practices, and system design and architecture. The ideal candidate will also have leadership experience managing a team of ~10 individuals and driving best practices in data management and engineering.
Responsibilities:
- Lead and manage a data management team of ~10 members, fostering growth and collaboration.
- Oversee the design, implementation, and maintenance of data infrastructure and pipelines.
- Ensure adherence to data management principles, including data quality, governance, and security.
- Utilize cloud platforms like AWS, and tools such as Databricks & Informatica for data processing and storage solutions.
- Apply software engineering best practices, including DevOps, Infrastructure as Code (IaC), and testing automation, to streamline workflows.
- Design scalable and robust system architectures aligned with business needs.
- Collaborate with cross-functional stakeholders to ensure the seamless integration of data systems.
- Monitor and optimize system performance, reliability, and cost-effectiveness.
Skills & Qualifications:
- Bachelor's or Master's degree in Computer Science, Information Technology, or related fields.
- 8+ years of experience in data management, with a strong understanding of cloud-based technologies like AWS, Databricks, and Informatica.
- Expertise in software engineering best practices such as IaC, DevOps pipelines, and comprehensive testing methods.
- Experience in system design & architecture, including distributed systems and integration patterns.
- Proven ability to lead and manage a team (~10 people), fostering an inclusive and high-performance culture.
- Strong problem-solving, communication, and stakeholder management skills.
- Strong expertise in data integration, data modeling, and modern database technologies (Graph, SQL, No-SQL) and AWS cloud technologies
- Extensive experience in DBA, schema design & dimensional modeling, and SQL optimization.
- Excellent written and verbal communication skills, with the ability to collaborate effectively with cross-functional teams.
Preferred Skills:
- Certifications in AWS, DevOps, Data Engineering, or related technologies.
- Familiarity with Agile methodologies and tools.
- Knowledge of modern data governance frameworks and strategies.
Locations
IND - Bengaluru
Worker Type
Employee
Worker Sub-Type
Regular
Time Type
Full time
Similar Jobs
What We Do
For over 240 years, Takeda’s propensity to evolve has driven the next generation of innovation, and as a future-focused organization, we’re continuing to drive forward with endurance in our steadfast pursuit to achieve the best outcomes for our patients in a rapidly changing world.
We have been preparing for this period of value creation by investing in data, digital and technology, and we’re proud of our employees and their commitment to turning groundbreaking ideas into life-changing impacts.
Since our founding in Japan, integrity and putting patients first have been at the heart of our identity, and we will emerge ready for our future as one of the most trusted and science-driven digital biopharmaceutical companies. Join a team where your innovation impacts lives.
Together, we’ll realize improved outcomes by improving data quality, enhancing launch execution and improving the patient journey. You’ll play a critical role in accelerating data collection and increasing accuracy across all parts of the business. Patients across the globe will benefit from access to treatments afforded by greater opportunities and efficiency in our research and development.
Why Work With Us
We connect to our history and Japanese heritage through everything we do to bring our purpose, values, vision, and imperatives to life. We are committed to bringing better health and a brighter future to patients. Being a part of Takeda means having the opportunity to be a part of something bigger than yourself.
Gallery
