Sr. Specialist DDIT IES Database Services
About this opportunity
We are seeking a highly skilled Database Engineer (Level 4) with 10–12 years of experience in enterprise database technologies. This role is intended for a seasoned Database Engineer with strong Oracle and AWS expertise who can drive platform engineering, automation, modernization, and cloud adoption initiatives. The position focuses on building future-ready database services through engineering excellence, automation-first thinking, DevOps practices, and continuous service improvement, rather than traditional production database support activities.
Key Responsibilities:Serve as a Subject Matter Expert (SME) for Oracle and AWS database platforms, providing technical guidance and engineering expertise.Design, implement, and continuously improve enterprise database platform standards, automation frameworks, and engineering best practices.Evaluate new database technologies, versions, features, and cloud services; provide recommendations for adoption and implementation.Lead technical execution of database lifecycle initiatives including upgrades, migrations, modernization, and cloud transformation activities.Develop and maintain automation solutions using scripting, Infrastructure-as-Code (IaC), and CI/CD practices to improve operational efficiency and service reliability.Engineer and optimize AWS database services including Oracle and PostgreSQL platforms.Collaborate with application, cloud, infrastructure, security, and architecture teams to deliver scalable and secure database solutions.Identify and implement opportunities to reduce manual effort, technical debt, operational risks, and service complexity through automation and standardization.Contribute to platform roadmaps, engineering standards, technical documentation, and knowledge sharing.Ensure compliance with security, regulatory, audit, and operational standards.Essential Requirement:10–12 years of overall database engineering and administration experience.Minimum 7+ years of Oracle Database engineering experience in enterprise environments.Minimum 3+ years of AWS cloud database experience.Hands-on experience with database upgrades, migrations, cloud transformation, and platform modernization initiatives.Experience designing and implementing automation solutions for database operations and engineering processes.Experience working within Agile and DevOps delivery models in large global organizations.Commitment to Diversity & InclusionWe are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve. Accessibility and accommodationNovartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to diversityandincl.india@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
Job details
How this role compares
Computed from every other active Information Technology role in our database, not just this employer's listings.
We currently track 424 comparable Senior Information Technology roles across 43 biopharma companies.
Salary context
51 of 424 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 424 comparable roles
+ 15 more countries
Seniority mix
424 of 424 peers have a known seniority level
Therapeutic area mix
1 of 424 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
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How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.