Databricks Platform Engineer

What You Need To Know


Shape a remarkable future with us. Build a career working for an industry leader that truly invests in their people – and equips them with leading technology, continuous learning, and the ability to bring their best selves to work. As North America's largest total beverage distributor, Southern Glazer’s isn't just one of Forbes’ Top Private Companies; it's a family-owned business with deep roots dating back to 1933.

Southern Glazer’s is proud of its well-earned positive reputation, continually achieving accolades for our outstanding workplace culture. We take pride in creating a culture where our people are valued, supported, and provided opportunities for growth and belonging.

As a full-time employee, you can choose from a wide-ranging menu of our Top Shelf Benefits, including comprehensive medical and prescription drug coverage, dental and vision plans, tax-saving Flexible Spending Accounts, disability coverage, life insurance plans, and a 401(k) plan. We also offer tuition assistance, a wellness program, parental leave, vacation accrual, paid sick leave, and more.

By joining Southern Glazer’s, you would be part of a team that values excellence, innovation, and community. This is more than just a job – it's an opportunity to build the future of beverage distribution and grow with a company that truly cares about its people.

Overview


The Staff Databricks Platform Engineer owns the engineering of Southern Glazer's Databricks lakehouse as a product: the work spaces, governance model, compute fabric, and automation that every data engineering, analytics, and AI/ML team at SGWS builds on. This is a platform role, not a pipeline role — success is measured by the reliability, security, cost efficiency, and developer velocity of the platform itself, rather than by the number of datasets delivered.

The role sets the standards other engineers follow: how work spaces and catalogs are structured, how entitlements are granted and audited, how workloads are deployed and promoted, and how compute spend is controlled. It operates with significant autonomy, partners directly with Enterprise Architecture, Security, and Cloud Infrastructure, and mentors engineers across the Data & AI Platforms organization.

Primary Responsibilities


• Own the design and operation of the Databricks platform across environments — workspace topology, account-level configuration, metastore design, and workspace-to-cloud networking.
• Design and enforce the Unity Catalog governance model: catalog and schema hierarchy, group-based entitlements, service principal patterns, row- and column-level security, dynamic views, and audit logging.
• Build platform automation as code — Terraform and the Databricks provider, asset bundles, and CI/CD pipelines that provision work spaces, clusters, policies, jobs, and permissions without manual intervention.
• Define and maintain cluster policies, instance pools, serverless configuration, and SQL warehouse sizing standards that balance performance against cost.
• Own Databricks Fin Ops: attribute consumption by team and workload through tagging and system tables, set budgets and alerts, identify optimization targets, and drive spend reductions without degrading SLAs.
• Engineer secure connectivity and data protection — private endpoints, customer-managed keys, secret scopes, credential passthrough, and secure integration with AWS, Azure, and on-prem sources.
• Design and operate Delta Sharing and cross-workspace data access patterns for internal consumers and external partners.
• Build platform observability: monitoring of job reliability, cluster health, query performance, and system table analytics, with alerting routed to the right owners.
• Establish the golden paths for platform…