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Medium competition due to a recognizable global brand, popular data role, and metro location.
Low because core data engineering skills are highly transferable across industries.
Medium—senior title and specific Azure/Databricks/Python requirements create moderate filtering.
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Design and provision Azure infrastructure for customers’ cloud workloads, including data analytics platforms.
Deploy and maintain Azure DevOps tools for both delivery and production support of Azure platforms.
Serve as a technical escalation point and mentor within the Managed Services team, influencing architecture and internal processes.
Hands-on experience with Azure Cloud and related services: Azure Data Factory, Azure Data Lake, Power BI, SQL Server, Databricks.
Proficiency in SQL querying and Python/Pyspark programming.
Familiarity with Microsoft Azure Cloud Adoption Framework, ARM Templates, Hub/Spoke Networks, and Azure DevOps (Pipelines, Repos).
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in enterprise-level cloud infrastructure and application delivery, especially within Azure environments.
Capable of technical leadership including mentoring, escalation handling, and process improvement in a managed service context.
Comfortable with customer-facing roles and collaborating across multiple locations and teams.