Job Description
What you will own
- Build and scale a data engineering practice (team, capability, and delivery) across global clients
- Lead end-to-end delivery of large-scale data platforms (design → build → production)
- Architect cloud-native systems across AWS/Azure with strong focus on scalability, reliability, and cost efficiency
- Work directly with pharma clients to translate business problems into executable technology solutions
- Establish reusable assets (frameworks, accelerators, data models) to improve delivery speed and quality
- Hire, mentor, and lead high-performing engineering teams in India
- Partner with leadership on growth, solutioning, and key client pursuits
- 12–18 years of experience building and delivering data platforms in consulting or product environments
- Strong hands-on architecture background. You have built or led production systems, not just designed them
- Deep experience with cloud ecosystems (AWS/Azure), including data services, orchestration, and monitoring
- Strong understanding of data pipelines, integration patterns, and distributed systems
- Experience working with pharma commercial data (IQVIA, claims, CRM, MDM) strongly preferred
Looking to get Placed? Try our Placement Guarantee Plan
- Proven ability to lead large delivery programs and manage senior client stakeholders
- Track record of hiring and scaling engineering teams
- Your experience is primarily advisory/strategy without hands-on delivery
- You have not worked directly with clients in a consulting or services environment
- You prefer structured environments with pre-built teams and defined processes
Skills
Distributed SystemsCloudIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
Important dates & deadlines?
Application Deadline
15 Aug 26, 04:13 PM IST
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