Support the design, build, and operation of the Data Platform, blending infrastructure engineering with data engineering practices to keep the Databricks/Azure environment reliable, automated, and self-service for platform users.

Responsibilities

• Design and maintain CI/CD pipelines (Azure DevOps/GitHub Actions) for infrastructure and application deployments.

• Write and maintain Terraform IaC for Azure services and Azure Databricks (Unity Catalog, workspaces, networking, compute policies).

• Develop and support application code in Python and/or .NET for platform tooling and automation.

• Build and maintain shared libraries/modules used by data engineers and analysts across the platform.

• Design and implement platform management processes covering cost tracking, governance, provisioning, and monitoring.

• Collaborate with data engineers, analysts, and security/infrastructure teams to translate requirements into platform capabilities.

• Troubleshoot infrastructure, pipeline, and integration issues, including networking, authentication, and connectivity.

• Contribute to platform documentation and best-practice standards.

• Required Skills & Experience

• Strong experience with Microsoft Azure infrastructure, including Entra ID, Key Vault, networking, and storage.

• Hands-on experience with Azure Databricks, including Unity Catalog and cluster/job management.

• Terraform expertise, preferably in multi-environment deployments.

• Proficiency in Python and SQL; .NET experience is an advantage.

• Experience building and maintaining CI/CD pipelines.

• Understanding of data platform governance and cost management.

• Ability to work effectively across infrastructure and data engineering domains.

• Nice to Have

• Experience with Medallion Architecture (Bronze/Silver/Gold).

• Exposure to FinOps and cost attribution practices.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related field.
• 5+ years of experience in Data Engineering, Data Platform Engineering, or Big Data development.
• Proven experience designing, building, and supporting scalable enterprise data platforms.
• Strong understanding of data architecture, data modeling, and distributed computing concepts.
• Experience working in Agile/Scrum development environments.
• Excellent analytical, problem-solving, and troubleshooting skills.

At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus.

Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself.

We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.