Data Platform Engineer

About this role

ABOUT GREYSTAR

Greystar is a leading, fully integrated global real estate platform offering expertise in property management, investment management, development, and construction services in institutional-quality rental housing. Headquartered in Charleston, South Carolina, Greystar manages and operates over $350 billion of real estate in more than 260 markets globally with offices throughout North America, Europe, South America, and the Asia-Pacific region. Greystar is the largest operator of apartments in the United States, managing over one million units/beds globally. Across its platforms, Greystar has nearly $79 billion of assets under management, including over $34 billion of development assets and over $36.5 billion of regulatory assets under management. Greystar was founded by Bob Faith in 1993 to become a provider of world-class service in the rental residential real estate business. To learn more, visit .
JOB DESCRIPTION SUMMARY
Greystar is seeking a Platform Engineer to join the Data team. This is a senior, deeply technical platform operations role responsible for the reliability, governance, and cost efficiency of Greystar’s enterprise data infrastructure — a Databricks-native medallion architecture (Bronze → Silver → Gold) running entirely on Microsoft Azure. You will work within the DataOps pod under the Analytics Engineering umbrella, owning Databricks workspace administration, Unity Catalog governance, Azure infrastructure operations, and multi-system platform support.

This role is platform-engineering-heavy. Most of your day lives inside Databricks workspace administration and the full Azure data services stack: ADLS Gen2, Azure Data Factory, Azure Monitor, Key Vault, Log Analytics, and beyond. You will enforce platform standards, govern identity and access, optimize compute and storage spend, and provide platform support for EDP, DALDW, ADF, Synapse, Cosmos DB, and SQL Server. Deep mastery of Databricks administration and the Azure platform is a baseline expectation.JOB DESCRIPTION
Databricks Platform Engineering & Administration
• Own Databricks workspace administration: upgrades, cluster policies, compute configurations, and Delta table lifecycle management
• Administer Unity Catalog: access controls, service principal (SP), group, and user provisioning, governance policies, and data lineage
• Tune Spark jobs for performance, reliability, and cost — profiling bottlenecks, optimizing partitioning, managing Z-ordering, and controlling compute spend
• Architect and enforce DMP platform standards: naming conventions, schema evolution policies, SLA tiers, and medallion layer contracts
• Leverage Databricks Mosaic AI and Genie to build AI-native DataOps capabilities including intelligent pipeline monitoring and anomaly detection
Azure Infrastructure & Integration
• Operate the full Azure data services stack: ADLS Gen2, Azure Data Factory (ADF), Azure Monitor, Log Analytics, Key Vault, and Event Hub
• Collaborate with Azure infrastructure and cloud engineering teams on networking, identity, security, and resource provisioning
• Drive cost governance through Azure Cost Management, Databricks DBU optimization, and storage lifecycle policies
Multi-Platform Support
• Provide platform support for various systems and platforms including access management, storage optimization, and compliance
• Support additional platforms including ADF, Synapse Analytics, Cosmos DB, and Azure SQL Server
• Manage storage allocation, cluster optimization, and resource provisioning across all supported platforms
• Support compliance, audit readiness, and Key Vault secret rotation and management
CI/CD & Environment Deployments
• Own the full deployment pipeline for DMP data workflows — promoting changes from development through staging to production
• Build and maintain CI/CD workflows using GitHub Enterprise: branch strategies, PR automation, environment-specific configuration management, and release gating
• Enforce deployment standards: automated testing gates, rollback procedures, change documentation, and environment parity controls
• Use Linear for sprint planning, release tracking, and issue management across deployment cycles
Identity, Access & Governance
• Manage Azure Active Directory (AAD) service principals, RBAC assignments, and Unity Catalog permission policies
• Partner with the Data Governance team to enforce data contracts, ownership standards, and quality SLAs within Unity Catalog
• Maintain data lineage, metadata management, and governance framework documentation
• Ensure platform configurations meet security, compliance, and audit requirements
Environment Parity & Dev/Staging/Prod Management
• Own workspace configuration parity across Dev, Staging, and Production Databricks environments — cluster policies, Unity Catalog hierarchy, access controls, and compute configurations
• Define and enforce environment promotion hygiene: configuration drift detection, environment-specific secret management, and pre-production validation gates
• Maintain infrastructure-as-code (IaC) scripts and configuration templates to ensure reproducible, auditable environment provisioning across all tiers
Documentation & Collaboration
• Produce thorough technical documentation: runbooks, deployment playbooks, incident post-mortems, ADRs, and platform specs
• Partner with analytics engineers, data governance, and product stakeholders on platform design and capacity planning
• Participate in on-call rotation and support SLA commitments for business-critical DMP data domains
AI-Driven Platform Observability & Self-Healing Infrastructure
• Build and maintain AI-powered platform observability infrastructure — using LLMs and ML models to detect pipeline drift, classify anomalies, predict SLA risk, and generate automated incident summaries at the platform layer
• Architect and deploy self-healing pipeline capabilities — automated retry logic, circuit breakers, and remediation triggers — as production-grade…