Staff Engineer - Azure Databricks

Job Description

As a Staff Engineer embedded in the Enterprise Data & Analytics function, you will be responsible for delivery and operations of technologies and platforms required to model, transform, analyze, report, and visualize data.

You’ll work in a mid-level role with proficiency needed in building, optimizing, streamlining and automating the Azure Databricks platform to enable analytic workloads such as machine learning (ML), model development, data insights, and data science. As a Staff Engineer I, you will partner with ML engineers, data scientists, data analysts, and enterprise architects to enforce best practices, train, and enable users of the Azure Databricks platform.

• Take assignments that can be worked on individually without supervision and manage work effort from concept to completion.
• Build, optimize, and maintain the Azure Databricks platform, ensuring scalability, security, governance, and performance.
• Implement and manage Azure Databricks work spaces, clusters, jobs, and access management.
• Implement and manage policies, monitoring, and observability for the Azure Databricks platform.
• Ensure compliance with IT policies, procedures, and industry standards, including reviewing and refining IT control enhancements.
• Work closely with business and analytics teams to ensure reliable and governed data access for data needed for analytics.
• Troubleshoot platform issues, optimize performance, and ensure uptime for critical Databricks services.
• Stay current on emerging data analytics technologies, recommending enhancements to improve efficiency and governance.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

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• 5+ years of related experience in data analytics administration and development.
• 2+ years of Databricks related experience.
• Bachelor's degree in a related field required.
• Hands‑on experience in Azure Databricks (workspace management, clusters, jobs, Unity Catalog, Delta Lake, user access management, Rest APIs and SDKs).
• Understanding of Azure infrastructure and data services, including Azure Data Lake, Azure Data Factory, Azure SQL, Azure Synapse Analytics, Azure Key Vault, Azure Monitor, and networking.
• Experience with CI/CD pipelines (Azure Dev Ops preferred).
• Strong programming skills in SQL, Python, and/or PySpark.
• Intermediate to advanced knowledge of general financial services or banking preferred.
• Proven experience in leading cross‑functional teams and managing multiple projects simultaneously.
• Intermediate to advanced ability to see the big picture and align projects with organizational goals. Capable of leading and motivating cross‑functional teams. Expertise in resolving conflicts and addressing challenges as well as skill at identifying and mitigating risks at the project level.