Senior Data Platform Engineer
Zensar Technologies
Salary not disclosed
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Description
Job Title: Data Platform Engineer (Infrastructure & Data Engineering)
Purpose
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.
Key Responsibilities
- Design and maintain CI/CD pipelines (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 pipelines/processes that support platform management (cost tracking, governance, provisioning, monitoring)
- Collaborate with data engineers, analysts, and security/infra teams to translate requirements into platform capabilities
- Troubleshoot infrastructure, pipeline, and integration issues (networking, auth, connectivity)
- Contribute to platform documentation and best-practice standards
Required Skills & Experience
- Solid experience with Microsoft Azure infrastructure (Entra ID, Key Vault, networking, storage)
- Hands-on Azure Databricks experience (Unity Catalog, cluster/job management)
- Terraform (IaC) experience, ideally in a multi-environment setup
- Proficiency in Python; working knowledge of SQL; .NET is a plus
- Experience building/maintaining CI/CD pipelines (Azure DevOps, GitHub Actions, or similar)
- Understanding of data platform governance and cost management concepts
- Comfortable working across the infra/data engineering boundary
Nice to Have
- Experience with medallion architecture (Bronze/Silver/Gold)
- Exposure to FinOps/cost attribution practices
Role 2 -
Job Title: Senior Data Engineer – Databricks experienced
Purpose
We are seeking a highly skilled Senior Data Engineer with deep expertise in Databricks, Azure, and modern data engineering practices to design, build, and optimize scalable data platforms and pipelines. The ideal candidate will have strong hands-on experience with Databricks, Delta Lake, Spark, and Azure cloud services, enabling data-driven decision-making across the organization. (Databricks experience senior data engineer) – Expecting more details around this role by Monday afternoon.
Qualifications
Job Title: Data Platform Engineer (Infrastructure & Data Engineering)
Purpose
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.
Key Responsibilities
- Design and maintain CI/CD pipelines (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 pipelines/processes that support platform management (cost tracking, governance, provisioning, monitoring)
- Collaborate with data engineers, analysts, and security/infra teams to translate requirements into platform capabilities
- Troubleshoot infrastructure, pipeline, and integration issues (networking, auth, connectivity)
- Contribute to platform documentation and best-practice standards
Required Skills & Experience
- Solid experience with Microsoft Azure infrastructure (Entra ID, Key Vault, networking, storage)
- Hands-on Azure Databricks experience (Unity Catalog, cluster/job management)
- Terraform (IaC) experience, ideally in a multi-environment setup
- Proficiency in Python; working knowledge of SQL; .NET is a plus
- Experience building/maintaining CI/CD pipelines (Azure DevOps, GitHub Actions, or similar)
- Understanding of data platform governance and cost management concepts
- Comfortable working across the infra/data engineering boundary
Nice to Have
- Experience with medallion architecture (Bronze/Silver/Gold)
- Exposure to FinOps/cost attribution practices
Role 2 -
Job Title: Senior Data Engineer – Databricks experienced
Purpose
We are seeking a highly skilled Senior Data Engineer with deep expertise in Databricks, Azure, and modern data engineering practices to design, build, and optimize scalable data platforms and pipelines. The ideal candidate will have strong hands-on experience with Databricks, Delta Lake, Spark, and Azure cloud services, enabling data-driven decision-making across the organization. (Databricks experience senior data engineer) – Expecting more details around this role by Monday afternoon.
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.
About this role
Zensar is looking for a Senior Data Platform Engineer to own the infrastructure and automation layer of their Azure Databricks environment. You'll split your time between DevOps and data engineering work: designing CI/CD pipelines with GitHub Actions, writing Terraform code for Azure services and Databricks resources (Unity Catalog, workspaces, networking), and building Python or .NET tooling that keeps the platform self-service and reliable. This role sits at the boundary between infrastructure and data engineering, so you'll collaborate with data engineers, analysts, and security teams to translate their needs into platform capabilities.
The position requires solid hands-on experience with Azure (Entra ID, Key Vault, networking, storage), Azure Databricks (particularly Unity Catalog and cluster management), Terraform across multiple environments, and Python proficiency. You should be comfortable with CI/CD pipeline tools, understand data governance and cost management, and ideally have exposure to medallion architecture or FinOps practices. .NET experience is a bonus. You'll also troubleshoot infrastructure and integration issues, maintain shared libraries, and contribute to documentation and standards.
This is a full-time, in-office role based in Pune, Maharashtra. It suits engineers who want to bridge infrastructure and data work rather than specialize in one, and who prefer hands-on platform operations over pure analytics or pure DevOps.
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Pay for this role
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