Dir , Data Engineering

Overview

Lead the data engineering function for the Scientific Data Product Line at MSD's Hyderabad Tech Center, leading engineering squads and shaping data strategy, architecture and talent in support of research outcomes.

What you'll do

• Partner with colleagues in the scientific data product line and stakeholders to understand data priorities in support of research outcomes
• Partner with engineering teams to understand and influence architectural choices and talent needs
• Define or influence engineering squad configuration with the product manager and product tech lead to support roadmap objectives
• Provide leadership to engineering squads in Hyderabad Tech Center to design, engineer and implement data product features in support of research
• Define and implement data engineering strategies that align with organizational goals and data governance standards
• Connect with external partners and thought leaders to stay current on data engineering technologies and trends
• Evaluate and introduce new technologies, tools and frameworks that enhance productivity and data quality
• Conduct regular 1:1s, performance reviews, career development planning and succession planning
• Understand current and future engineering talent needs with the product line leader and product line technical leader
• Drive recruitment, onboarding and retention of top data engineering talent
• Develop and execute a learning roadmap for the engineering team, including training, certifications, communities of practice and internal tech talks
• Foster a culture of learning, innovation, psychological safety and knowledge sharing
• Understand the company's purpose and the role of research and research IT in support of it, and be an ambassador for it within the team and wider HTC community
• Work with other engineering leaders in HTC to develop and participate in a community that learns engineering practices from each other
• Leverage enterprise engineering tools and processes and advocate for them, and actively provide feedback to enterprise teams to evolve them in support of research engineering needs

What you'll need

• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Mathematics or a related field, or equivalent experience
• Typically 10+ years of experience in data engineering or related roles
• Typically 5+ years in a leadership, lead engineer, or chapter/people lead capacity
• Proven track record building and maintaining large-scale data platforms and pipelines in complex enterprise environments
• Strong hands-on experience with modern data engineering technologies, including Python, Java and SQL
• Strong hands-on experience with data processing technologies such as Spark, Databricks, dbt and Matillion
• Strong hands-on experience with data warehousing and lakehouse technologies such as Delta Lake, Redshift and Neptune
• Strong hands-on experience with cloud platforms, AWS preferred or Azure
• Strong hands-on experience with streaming technologies such as Kafka, Kinesis, Pub/Sub or Event Hubs
• Solid understanding of ETL/ELT concepts
• Solid understanding of data quality, metadata management and observability
• Solid understanding of CI/CD, infrastructure as code and containerization, such as GitHub/GitLab CI, Jenkins, Terraform, Docker and Kubernetes
• Solid understanding of security, privacy and compliance concepts, such as RBAC, encryption and PII handling
• Demonstrated ability to lead and grow technical teams and communities in a product team environment
• Strong coaching and mentoring skills, developing both technical and behavioral capabilities
• Strategic mindset, balancing long-term architecture with short-term delivery needs
• Excellent communication and influencing skills, with experience engaging senior stakeholders
• Comfortable working in agile environments (Scrum/Kanban) and applying product-centric ways of working

Details

• Location: Hyderabad, Telangana, India (Hitec City Raidurg)
• Work arrangement: Hybrid
• Employee status: Regular
• Posting end date: 10/31/2026