Databricks Platform & Database Engineer

Databricks Platform & Database Engineer

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Job Description

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CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces.  Included in the S&P 500 Index, CoStar Group is on a mission to digitize the world’s real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives. 

We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers. We’ve continually refined, transformed and perfected our approach to our business, creating a language that has become standard in our industry, for our customers, and even our competitors.  We continue that effort today and are always working to improve and drive innovation.  This is how we deliver for our customers, our employees, and investors.  By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate.

We are looking for a Databricks Platform & Database Engineer with hands-on experience in enterprise Databricks environments on AWS and traditional database engineering spanning relational and non-relational systems. In this role, you will serve as the primary owner of our Databricks environment on AWS responsible for administration, automation, governance, and platform reliability end to end. Alongside that, you will manage, optimize, automate, and govern a broader portfolio of relational databases (SQL Server, Aurora, PostgreSQL, MySQL) and nonrelational data stores across both AWS cloud and on-premises data centers.

CoStar is investing heavily in artificial intelligence to accelerate software delivery, improve platform observability, automate research and business workflows, enhance product experiences through intelligent agents and skills, and improve data quality across enterprise systems. Successful candidates will demonstrate a willingness to learn, adopt, and apply AI technologies responsibly to solve complex business and engineering challenges.

This position is located in Arlington, VA and is in office Monday through Thursday with work from home on Friday.

Responsibilities 

• Deploy, administer, and maintain Databricks workspaces on AWS, including workspace configuration, network settings, access management, Runtime versions, cluster configurations, libraries, and init scripts across dev, staging, and production
• Manage Unity Catalog objects (catalogs, schemas, tables, external locations) and administer workspace security: users, groups, service principals, permissions, and enterprise identity provider integrations
• Lead platform upgrades, workspace migrations, and full environment lifecycle management
• Monitor, optimize and right‑sizing clusters, SQL warehouses, and job compute for performance and cost; analyze Spark executor logs and query plans to diagnose and resolve bottlenecks
• Support data ingestion from relational and non-relational sources into Databricks via AWS, DMS or native Lakeflow ingestion services
• Lead the design and implementation of end-to-end data workflows, covering the reliable distribution of curated data to downstream systems including SQL Server, DynamoDB, S3, and other enterprise data consumers.
• Design, implement, and administer relational and non-relational databases such as SQL Server, Aurora, PostgreSQL, MySQL, and DynamoDB across AWS (RDS/Aurora) and on-premises data centers
• Manage provisioning, patching, backups, replication, failover, version upgrades, and cross-platform migrations between cloud and on-premises environments
• Apply database security best practices including encryption at rest and in transit, access control, and auditing
• Develop IaC solutions using Terraform for Databricks workspaces, AWS RDS, Aurora, and supporting resources
• Automate operational tasks: cluster lifecycle, database provisioning, job scheduling, and backup management across cloud and on-premises environments
• Build and maintain CI/CD workflows for platform configuration and pipeline code
• Implement proactive monitoring and alerting across Databricks jobs, pipelines, clusters, SQL warehouses, and all database instances
• Implement and enforce cluster policies, SQL warehouse governance, and workspace hardening.
• Manage Databricks audit logs, lineage, and compliance reporting
• Support SLA-driven 24/7 production environments; lead root cause analysis, troubleshoot incidents, and author operational runbooks
• Partner with data scientists, business analysts, DBAs, and DevOps engineers to deliver platform implementations and respond to ad-ho