Are you passionate about the infrastructure of scalable, secure, and future-proof data platforms that power analytics, AI, and business-critical insights? Do you thrive in environments where automation, cloud technologies, and platform reliability are at the core of everything you do? We're looking for a Data Platform Engineer who wants to play a pivotal role in shaping and operating a modern Azure and Databricks-based data platform that enables data-driven decision-making, advanced analytics, and AI innovation at scale.
About the role
In this role, you will be responsible for designing, building, and maintaining the infrastructure that supports analytics, reporting, AI, and data product development. You will help establish platform standards, develop automation capabilities, and ensure the platform remains secure, scalable, and resilient. Working closely with Data Architects, Data Engineers, Enterprise Architects, and Security teams, you will drive the evolution of a modern cloud-based platform that enables seamless data ingestion, processing, and consumption across the organization.
As a key member of the team, you will manage and optimize Azure Databricks, Azure Data Lake, networking, and supporting platform services. You will implement Infrastructure as Code using Terraform, build and maintain CI/CD pipelines, and create observability frameworks that provide transparency into platform health, performance, and cost efficiency. You will also play an important role in troubleshooting complex issues, improving operational excellence, supporting disaster recovery planning, and enabling AI and machine learning capabilities through robust platform engineering practices.
Beyond the technical responsibilities, you will act as a trusted subject matter expert, helping engineering teams adopt cloud platform best practices while continuously driving improvements in reliability, security, governance, and operational efficiency.
