About the role

The Data Platform Engineer will design, build, and operate the data platform by blending infrastructure and data engineering practices. Key tasks include managing CI/CD pipelines, maintaining Terraform IaC, and developing automation tools to ensure a reliable and self-service environment.

What they look for

Azure Databricks Terraform Python CI/CD Infrastructure as Code Unity Catalog SQL Azure DevOps GitHub Actions Data Platform Governance FinOps Networking Delta Lake Spark Automation

Requirements

Candidates must have solid experience with Microsoft Azure infrastructure and hands-on expertise in Azure Databricks. Proficiency in Python, Terraform, and CI/CD pipeline management is required, along with 9 to 12 years of relevant experience.

Full 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.

Responsibilities

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.