Platform Engineer

Job summary

Dow has an exciting and challenging opportunity for an Azure Data Platform Engineer on the Enterprise Data & Analytics Data Platform team. This is a position within our Enterprise Data & Analytics Organization. The role will align to Dow's Design your Day approach and allows employees to work remotely but will also require onsite work based on project work and role needs. The selected candidate will be expected to live a commutable distance from our IT Hub in Mumbai, India at a frequency to be agreed upon by the employee and their leader. As an Azure Data Platform Engineer specializing in data and analytics solutions, you will be responsible for designing, implementing, and maintaining data platforms and analytics solutions on the Azure cloud platform to enable business objectives and accelerate Dow's digital transformation. Your primary focus will be on managing and organizing data within Databricks Unity Catalog, which is a centralized metadata repository for storing and discovering data assets in an organization. You will develop and implement data integration processes, data pipelines, and data transformation workflows using Databricks Unity Catalog. You will be using Azure DevOps, PowerShell, Python, and Azure Cloud resources along with implementing complete CI/CD pipelines. The Azure Data Platform Engineer will work with a cross-functional team that includes Data Engineers, Analytics Engineers, and Machine Learning Engineers.

Responsibilities

• Design, deploy, and maintain Azure cloud infrastructure and data platform services, including Databricks, Storage Accounts, V-Net/Networking, SQL Servers, Function Apps, and API Management.
• Develop and maintain Infrastructure as Code (IaC) using Terraform and Bicep, enabling standardized and repeatable deployments across Development, Test, and Production environments.
• Build and maintain CI/CD pipelines using Azure DevOps, including Git repositories, branching strategies, release processes, and automated deployments.
• Support the configuration, administration, and operational management of Azure Databricks and associated platform components, including Unity Catalog and integration with Azure services.
• Develop automation and operational solutions using PowerShell, with working knowledge of Python and SQL for platform administration, deployment, and troubleshooting.
• Collaborate with data engineering, application, architecture, networking, and security teams to design and implement secure, scalable, and reliable cloud-based solutions.
• Implement DevOps, cloud security, configuration management, and change management best practices, ensuring solutions align with company IT architecture and security standards.
• Continuously improve platform automation, reusable IaC libraries, technical documentation, operational procedures, and engineering best practices, while providing technical guidance to team members and stakeholders.

Qualifications

• Ability to thrive in challenging situations and solve complex problems.
• Manage own work effort in multiple projects with little supervision.
• Interested about emerging technologies with the ability to quickly learn and exploit cutting edge offerings to achieve business objectives.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• A minimum of a bachelor's degree in IT discipline or a minimum of 5 years of relevant experience.
• Recent experience designing and deploying in Microsoft Azure environment.

Preferred Skills

• DevOps Tools: Git, Azure DevOps Pipelines (Docker, Kubernetes optional)
• Infrastructure as Code: Terraform, Bicep
• Coding & Scripting: PowerShell (Python and SQL basics)
• Cloud: Azure
• Azure Services: Databricks, Databricks Workspace, V-Net, Networking, Azure SQL Server, Function Apps, Storage Accounts, API Management
• Databricks: Unity Catalog, Databricks platform concepts
• DevOps Practices: CI/CD, repository structure, branching strategy, deployment automation
• Security & Governance: Cloud security, DevOps security, Change Management, Configuration Management

Good to have skills

• Data Governance: Microsoft Purview, Databricks Unity Catalog
• Programming & Data: Basic Python, SQL, and Apache Spark knowledge
• Containerization & Security: Docker, Kubernetes, Azure/DevOps security and governance concepts

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.