Building and maintaining the automation backbone of our Data Platform using Terraform and Azure DevOps.
Operating and improving the Azure-based analytics ecosystem (Databricks, Data Factory, storage, networking).
Designing, implementing, and automating CI/CD pipelines for our data workloads and platform components.
Ensuring the platform adheres to security, governance, and compliance standards.
Optimizing cloud resource usage and helping guide FinOps-aligned decisions.
Collaborating with Data Engineers, Architects, and business teams to deliver high-quality, scalable data solutions.
Participating in code reviews, documentation efforts, and cross-team architecture discussions.

Deep understanding of Azure services, including resource management, networking, and security.
Hands-on experience with Infrastructure as Code (Terraform) and module development.
Practical experience with Azure DevOps (Git repos, YAML pipelines, CI/CD automation).
Strong scripting skills in Bash (PowerShell is a plus).
Proficiency in Python with the ability to write clean, efficient, and reusable code for data processing and transformation.
Ability to troubleshoot environment and deployment issues across Azure components.
A proactive, ownership-driven mindset and the ability to communicate design choices clearly (e.g., using ADRs).
Experience with Azure Databricks, Azure Data Factory, or other data analytics services (preferred).
Background or exposure to Data Engineering (Delta Lake, ETL/ELT, streaming pipelines) (preferred).
Knowledge of Azure cost management, FinOps principles, and cost optimization techniques (preferred).
Familiarity with cloud architecture principles such as the Azure Cloud Adoption Framework and the Well-Architected Framework (preferred).
Experience with platform observability, monitoring, and operational excellence practices (preferred).

Data Platform Engineer

Key skills