We are looking for a Data Platform Engineer with strong Azure and IaC skills to help us build, automate, and operate our cloud-based Data Platform (centered around Databricks).
You might be our missing piece if you have:
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).
We would be thrilled if you have:
Experience with Azure Databricks, Azure Data Factory, or other data analytics services.
Background or exposure to Data Engineering (Delta Lake, ETL/ELT, streaming pipelines).
Knowledge of Azure cost management, FinOps principles, and cost optimization techniques.
Familiarity with cloud architecture principles such as the Azure Cloud Adoption Framework and the Well-Architected Framework.
Experience with platform observability, monitoring, and operational excellence practices.
A sense of belonging while reading about our culture.
We will be working together on:
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.
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