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Hyderabad · Hybrid · 12+ Yrs · 2 days ago
Biotech & Pharmaceuticals · 10000+ Employees · Rahway, US
For 130 years, MSD has been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases in pursuit of our mission to save and improve lives. MSD is a trade name of Merck & Co., Inc., with headquarters in Kenilworth, N.J., U.S.A. We demonstrate our commitment to patients and population health by increasing access to health care through far-reaching policies, programs and partnerships. Today, we continue to be at the forefront of research to prevent and treat diseases that threaten people and animals — including cancer, infectious diseases such as HIV and Ebola, and emerging animal diseases — as we aspire to be the premier research-intensive biopharmaceutical company in the world. We hire the most brilliant minds because inventing for life depends on our work. Here, you'll find rewarding opportunities, diverse experiences, and an unwavering commitment to ethics and integrity. You'll collaborate with talented colleagues who share your sense of purpose. Our company will empower you to innovate, explore, and develop your full potential in our possibility-rich environment. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today.
Hiring: Engineering
What employees say
+ Learning is endless Good Work Life Balance
− Pay scale varies for the same role
More reviews on the company profile.
Interview experience · Product Specialist
Utterly disrespectful, sarcastic, and toxic panel interview In my many years of professional career, I have never experienced an interview as horrendous and genuinely torturous as this one. It was not a professional eva
Very_difficult difficulty · Bengaluru · 42 reports
More interview insightsJob description
Overview
Manager, Data Engineering
Responsibilities
- Manager, Data Engineering
- The Opportunity:
- Manages and mentors a team of data engineers, fostering a high-performance culture, guiding career development, and aligning individual growth with business priorities.
- Oversees the design, execution, and operational support of scalable data pipeline architectures, ensuring seamless data ingestion, processing, and delivery across cloud platforms.
- Directs data engineering strategy on Databricks and AWS, ensuring team deliverables leverage optimized cluster configurations, cost-efficient storage, and robust processing frameworks.
- Defines, implements, and enforces engineering governance, including CI/CD workflows, testing standards, and compliance frameworks across the team's delivery pipeline.
- Accountable for the successful delivery of high-impact analytics projects, managing timelines, resource allocation, and technical risks from inception to deployment.
- Evaluates upstream and downstream architectural dependencies, managing integrations across multiple platforms, specifically handling complex data flows between Salesforce and AWS/Databricks environments.
- Collaborates with cross-functional technical leaders to align the team's technical roadmap with emerging cloud methodologies and enterprise architectural standards.
- Partners with commercial business leaders and stakeholders to translate strategic commercial goals into actionable data engineering roadmaps and product backlogs.
- Establishes strong stakeholder trust, managing expectation setting, progress communication, and service-level agreements (SLAs) for delivered data products.
- Drives continuous operational improvement, monitoring industry trends to introduce modern tools, automation, and patterns that reduce technical debt and processing costs.
- Builds and champions a technical "community of practice", encouraging knowledge sharing, cross-training, and collaboration within and beyond the immediate engineering team.
- Holds ultimate accountability for delivery quality, ensuring all team solutions strictly adhere to data privacy laws, GxP compliance (where applicable), and exceptional performance standards.
- Sponsors and guides innovative experimentation, enabling the team to pilot new technologies, conduct proof-of-concepts, and define clear business-value metrics for R&D efforts.
- Provides deep commercial domain leadership, overseeing data engineering strategies that support Salesforce CRM systems and advanced commercial reporting capabilities.
- BS Computer Science or related degree with 8-12 Yrs experience in data engineering.
- People & Team Leadership: Proven experience managing, coaching, and scaling a team of data engineers, including performance management and career development.
- IDMC Platform & Enterprise ETL Governance: Strategic experience overseeing IDMC organization setups, runtime environments (Secure Agents), integration architecture standards, and license utilization.
- Platform Delivery Strategy: Experience overseeing enterprise AWS and Databricks architecture footprints, including workspace governance and RBAC (Unity Catalog).
- Cloud FinOps: Background in managing cloud infrastructure costs, cluster policies, and resource allocation across AWS and Databricks.
- Salesforce Integration Governance: Experience directing the strategic data sync, master data management (MDM), and schema coordination between Salesforce CRM and cloud lakehouses.
- Delivery & Program Management: Track record of driving engineering backlogs, resource planning, sprint capacity, and meeting production data SLAs.
- Compliance & Governance: Experience enforcing data privacy rules, GxP SDLC software validation, and data quality assurance frameworks.
- Stakeholder Management: Exceptional communication skills to partner with commercial business leaders, align roadmaps, and manage expectations.
Qualifications
- A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.
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Job application FAQ
Last updated 19 September 2026
- How do I apply for Manager Data Engineering at MSD?
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- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Manager Data Engineering remote or on-site in Hyderabad, Telangana?
- This listing is marked hybrid with location Hyderabad, Telangana. Confirm details on the job description before applying.
- What skills matter for this Manager Data Engineering role at MSD?
- Key skills for this role include Hybrid. Upload a resume to see which requirements you already meet and which are gaps.