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Metro mid-level role at known analytics firm but niche Databricks deployment focus reduces applicant pool.
Strong Databricks, Azure, ERP AR and client-tenancy deployment requirements limit cross-industry transferability.
Multiple mandatory domain, tool, and client-tenancy experience requirements create strict shortlisting filters.
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Own end-to-end deployment architecture of the Cogentiq I2C platform in client Azure tenancies, including environment preparation, release sequencing, and installation validation.
Manage platform governance integration with client IT, including Unity Catalog, metastore provisioning, and compliance with data isolation and NDAs.
Develop, maintain, and enforce deployment standards and shared utilities to ensure idempotent, parameterized, and fail-fast deployments across Databricks, Fabric, PostgreSQL, and other storage backends.
6+ years in data platform or deployment engineering with minimum 2 years deploying into client-controlled or regulated environments.
Strong expertise in Azure Databricks including Asset Bundles, Unity Catalog, cluster and library management, and service-principal automation.
Proficient in Python and SQL with focus on pipeline idempotency, error handling, and configuration hygiene.
Experience with PostgreSQL production management, CI/CD workflows using Git and artifact repositories, and domain knowledge of order-to-cash and ERP AR data (Dynamics 365 or SAP).
Experienced in technically leading and owning complex deployments across regulated client environments with strong client-facing communication skills.
Skilled in negotiation and resolution of governance and infrastructure issues with client IT without escalation.
Demonstrated ability to institutionalize platform engineering standards and productize deployment playbooks reducing rollout costs and timelines.