Data Engineering Manager
Novartis · Hyderabad (Office) · Global
Software Engineering
–
Not yet analysed
Demand62
Career growth58
Healthcare fit28
Remote potential50
5-year outlook
Pharma data engineering management typically pays in line with or above senior tech roles and well above most clinical salaries, but progression depends on sustained engineering leadership experience rather than clinical credentials.
Clinical license
Not required
Applicant reach
narrow
Seniority
senior
Employment type
–
Date found
2026-10-30
Intelligence details
Why this is worth applying to
Only worth pursuing if you already have hands-on data engineering experience plus team leadership; a clinical background alone will not meet the bar for a manager-level engineering role.
Who should apply
Clinicians who transitioned into data engineering or informatics and now have several years of pipeline/platform engineering and people-management experience, especially those with pharma or life-sciences exposure.
CV angle
Lead with any real data engineering build work — pipeline architecture, cloud data platforms, SQL/Python, data quality and governance — and quantify team leadership, delivery, and stakeholder outcomes; frame clinical or informatics experience as domain context for pharma data (trial data, real-world evidence, regulatory data standards) rather than as core qualification.
Skills to highlight
- Data pipeline architecture
- Engineering team leadership
- Cloud data platforms
- SQL and Python
- Data governance and quality
- Stakeholder management
- Pharma/life-sciences data domain knowledge
Role summary
A manager-level engineering role leading data engineering teams at a large pharmaceutical company, responsible for building and maintaining data infrastructure; the posting itself contains no further detail.
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