Senior Manager - Data Engineering Lead

Job Title: Senior Manager - Data Engineering Lead

Career Level: E

Introduction to role

Are you ready to disrupt an industry and change lives? At AstraZeneca, we are on a mission to transform our ability to develop life-changing medicines by combining ground breaking science with leading digital technology platforms and data. As a Senior Manager - Data Engineering Lead, you will be at the forefront of this transformation, driving the success of our data platform initiatives. Based at the Chennai GITC, you will lead a team of data engineers, develop and implement the data engineering strategy, and ensure the quality and reliability of our AWS and Databricks-driven data platforms. Your expertise in Databricks, PySpark, and AWS will be essential in implementing industry best practices and standards. Are you ready to make the impossible possible?

Accountabilities

As the Data Engineering Team Lead for the US data platform, your key accountabilities will include:

1. Leadership and Mentorship:

• Lead the design, development, and maintenance of scalable, secure data infrastructure and tools to support data analytics and science teams.
• Mentor and manage a team of Data Engineers to produce high-quality, dependable, and scalable data products.

2. Technical Expertise:

• Demonstrate expert understanding of AstraZeneca’s application development processes in the implementation of data products.
• Function as an integral member of DevOps teams, participating in development tasks, with firsthand experience in ETL tools and expertise in PySpark and Databricks.
• Provide technical leadership and guidance to junior members of the data engineering team.

3. Collaboration:

• Work closely with Product Engineers and the CriticalOps team to share standard processes across all product release cycles for consistency.
• Collaborate with data engineers to deeply understand data sources, transformations, and dependencies.
• Develop and maintain a collaboration plan with Capability partners and business collaborators to ensure effective communication and alignment.
• Partner with vendor managers to streamline the onboarding process for contract resources and ensure high-quality deliverables.

4. Innovation and Process Improvement:

• Drive the adoption of innovative technologies and tools to enhance data engineering processes and efficiency.
• Recommend and implement improvements to enhance the reliability, efficiency, and quality of data processing pipelines.

Essential Skills/Experience

Education:

• Bachelor’s degree in computer science, Information Technology, or a related field.

Skills and Experience:

• Strong expertise in Databricks and PySpark.
• Minimum 10 years of data engineering experience.
• Proficiency with the AWS suite of applications.
• Comprehensive understanding of quality engineering principles and standard methodologies.
• Excellent leadership and team management abilities. Minimum 5 years of technical leadership and people management experience.
• Strong analytical skills with the ability to troubleshoot and deliver solutions in complex data environments.
• Experience in developing and implementing quality engineering strategies.
• Demonstrated experience in leading and mentoring quality engineering teams.
• Experienced in Agile Development techniques and methodologies.
• Excellent communication and leadership skills, with the ability to collaborate effectively with technical and non-technical partners.

Desirable Skills/Experience

• Certifications in AWS and Databricks.
• Proficiency in scripting and programming languages such as Python.
• Rigorous diligence and a commitment to maintaining high-quality standards.
• Firsthand experience with data pipeline and data integration processes.
• Familiarity with data governance and data management practices.
• Solid understanding of data modeling, ETL processes, and data warehousing concepts.
• Experience working in agile and exciting environments.
• Prior considerable experience working in Pharmaceutical or Healthcare industry IT environment.

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace, and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

At AstraZeneca, we empower our employees to lead, innovate, and take ownership. Working here means you'll be a self-starter who is comfortable stepping up, exploring new possibilities, solving challenges, and continuously pushing boundaries. Our dynamic environment offers countless opportunities to learn and grow, whether it's through hackathons or redefining roles. With investment behind us, there's no slowing us down as we drive cross-company change to disrupt the entire industry.

Ready to make a meaningful impact? Apply now to join our team!

Date Posted

Closing Date

AstraZeneca embraces diversity and equality of opportunity.  We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.  We believe that the more inclusive we are, the better our work will be.  We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.  We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.