{"id":66897,"url":"https://alion.io/job/greystar-data-platform-engineer","title":"Data Platform Engineer","company":{"id":4551,"name":"Greystar","domain":"greystar.com","url":"https://alion.io/company/greystar","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":83,"open_postings":92,"ghost_share":0,"stale_share":0.663,"repost_share":0.011,"time_to_fill_p50_days":27,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":114000,"max_usd":208000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":365},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Active Directory","optional":false},{"name":"AI Agents","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Asana","optional":false},{"name":"Azure","optional":false},{"name":"Azure Cosmos DB","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"CI/CD","optional":false},{"name":"Configuration Management","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"DNS","optional":false},{"name":"GitHub","optional":false},{"name":"Linear","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Self-Healing","optional":false},{"name":"ServiceNow","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-08-20T00:00:00Z","employer_posted_date":"2026-08-20","last_verified_at":"2026-10-22T10:11:39Z","board_verified":true,"closed_at":null,"days_open":64,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":64},"description":"ABOUT GREYSTAR\n\nGreystar 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 www.greystar.com.\nJOB DESCRIPTION SUMMARY\nGreystar 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\nDatabricks Platform Engineering & Administration\nOwn Databricks workspace administration: upgrades, cluster policies, compute configurations, and Delta table lifecycle management\nAdminister Unity Catalog: access controls, service principal (SP), group, and user provisioning, governance policies, and data lineage\nTune Spark jobs for performance, reliability, and cost - profiling bottlenecks, optimizing partitioning, managing Z-ordering, and controlling compute spend\nArchitect and enforce DMP platform standards: naming conventions, schema evolution policies, SLA tiers, and medallion layer contracts\nLeverage Databricks Mosaic AI and Genie to build AI-native DataOps capabilities including intelligent pipeline monitoring and anomaly detection\nAzure Infrastructure & Integration\nOperate the full Azure data services stack: ADLS Gen2, Azure Data Factory (ADF), Azure Monitor, Log Analytics, Key Vault, and Event Hub\nCollaborate with Azure infrastructure and cloud engineering teams on networking, identity, security, and resource provisioning\nDrive cost governance through Azure Cost Management, Databricks DBU optimization, and storage lifecycle policies\nMulti-Platform Support\nProvide platform support for various systems and platforms including access management, storage optimization, and compliance\nSupport additional platforms including ADF, Synapse Analytics, Cosmos DB, and Azure SQL Server\nManage storage allocation, cluster optimization, and resource provisioning across all supported platforms\nSupport compliance, audit readiness, and Key Vault secret rotation and management\nCI/CD & Environment Deployments\nOwn the full deployment pipeline for DMP data workflows - promoting changes from development through staging to production\nBuild and maintain CI/CD workflows using GitHub Enterprise: branch strategies, PR automation, environment-specific configuration management, and release gating\nEnforce deployment standards: automated testing gates, rollback procedures, change documentation, and environment parity controls\nUse Linear for sprint planning, release tracking, and issue management across deployment cycles\nIdentity, Access & Governance\nManage Azure Active Directory (AAD) service principals, RBAC assignments, and Unity Catalog permission policies\nPartner with the Data Governance team to enforce data contracts, ownership standards, and quality SLAs within Unity Catalog\nMaintain data lineage, metadata management, and governance framework documentation\nEnsure platform configurations meet security, compliance, and audit requirements\nEnvironment Parity & Dev/Staging/Prod Management\nOwn workspace configuration parity across Dev, Staging, and Production Databricks environments - cluster policies, Unity Catalog hierarchy, access controls, and compute configurations\nDefine and enforce environment promotion hygiene: configuration drift detection, environment-specific secret management, and pre-production validation gates\nMaintain infrastructure-as-code (IaC) scripts and configuration templates to ensure reproducible, auditable environment provisioning across all tiers\nDocumentation & Collaboration\nProduce thorough technical documentation: runbooks, deployment playbooks, incident post-mortems, ADRs, and platform specs\nPartner with analytics engineers, data governance, and product stakeholders on platform design and capacity planning\nParticipate in on-call rotation and support SLA commitments for business-critical DMP data domains\nAI-Driven Platform Observability & Self-Healing Infrastructure\nBuild 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\nArchitect and deploy self-healing pipeline capabilities - automated retry logic, circuit breakers, and remediation triggers - as production-grade platform features, not experiments\nIntegrate Databricks Mosaic AI and Genie into operational platform workflows for intelligent cluster management, anomaly detection, and natural language platform diagnostics\nContribute to Greystar’s 18-month agentic AI roadmap, leading near-term delivery of platform-level self-healing and proactive alerting capabilities\nData Pipeline Architecture & Platform Standards\nOwn DMP pipeline architecture patterns from an infrastructure standpoint - Delta Live Tables (DLT) design standards, schema evolution enforcement, and medallion layer contracts\nDefine and enforce platform-wide naming conventions, partitioning strategies, Z-ordering policies, and Delta table optimization schedules (VACUUM, OPTIMIZE)\nPartner with analytics engineers to ensure pipeline designs conform to platform infrastructure standards, SLA tiers, and compute budget constraints\nDisaster Recovery & Business Continuity\nDesign and maintain DR strategies for the DMP platform - including Delta table backup policies, ADLS Gen2 geo-redundancy configuration, and Databricks workspace recovery runbooks\nDefine RTO and RPO targets for business-critical DMP data domains; test and validate recovery procedures on a recurring basis\nMaintain business continuity plans aligned with Azure region failover capabilities and Greystar’s enterprise SLA commitments\nQualifications: \nRequired\n5+ years of platform engineering, infrastructure engineering, or data operations experience in a production environment\nExpert-level Databricks administration: Unity Catalog, cluster policies, workspace management, compute configuration, and Delta Lake internals\nStrong command of the Azure data services ecosystem: ADLS Gen2, ADF, Azure Monitor, Log Analytics, Key Vault, Cost Management, and Event Hub\nIdentity and access management: Azure Active Directory, service principals, RBAC, and Unity Catalog governance policies\nHands-on experience with ADF pipeline design and orchestration at scale\nSpark performance tuning: partitioning, Z-ordering, compute spend optimization, and bottleneck profiling\nProven CI/CD experience using GitHub Enterprise: environment promotion, rollback, and release management for data pipelines\nPython and/or SQL for automation scripts, compliance validation, and platform tooling\nKnowledge of medallion / lakehouse architecture patterns and multi-environment deployment discipline\nTerraform / Infrastructure-as-Code (IaC): provisioning and managing Databricks workspaces, Azure resources, Unity Catalog configurations, and environment-specific infrastructure through version-controlled IaC\nAzure DevOps Pipelines: build and release pipeline configuration, YAML pipeline authoring, and integration with GitHub Enterprise for end-to-end deployment automation\nAzure networking: VNet configuration, private endpoints for Databricks and ADLS Gen2, NSG rules, firewall policies, and DNS resolution for secure data platform connectivity\nAzure Monitor & Log Analytics: KQL query authoring, alert rule configuration, diagnostic settings, workbook creation, and cluster event monitoring for proactive platform health management\nDelta Lake internals: VACUUM, OPTIMIZE, ZORDER, time travel, table statistics, and transaction log management for production-grade Delta table lifecycle governance\nPreferred\nExperience with Synapse Analytics, Cosmos DB, or Azure SQL Server in production data environments\nFamiliarity with Databricks Mosaic AI, Genie, or AI-native platform observability capabilities\nBackground in data lineage tooling, metadata management, and Unity Catalog governance frameworks\nExperience with ERP system integrations: Yardi, Entrata, or RealPage in multi-tenant environments\nBackground in legacy BI migration or platform modernization programs\nLinear for engineering sprint and release management\nShared Role Expectations:\nParticipate in on-call rotation coverage across assigned shift window\nManage ServiceNow / Asana ticket queues per team SLA commitments\nTrack and close Linear / DevOps work items as part of sprint cycles\nContribute to team knowledge base, runbook library, and post-incident documentation\nWhat We Offer\nA high-impact role at the center of Greystar’s enterprise data transformation with access to cutting-edge tooling - Databricks, the full Azure stack, GitHub Enterprise, and an active AI innovation agenda. Competitive compensation, comprehensive benefits, flexible work arrangements, and a collaborative engineering culture focused on craft, automation, and continuous improvement.\nThe salary range for this position is $125,000 - $150,000 USD Annually.\n\nAdditional Compensation:\n\nMany factors go into determining employee pay within the posted range including business requirements, prior experience, current skills and geographical location.\nCorporate Positions: In addition to the base salary, this role may be eligible to participate in a quarterly or annual bonus program based on individual and company performance.\nOnsite Property Positions: In addition to the base salary, this role may be eligible to participate in weekly, monthly, and/or quarterly bonus programs.\n\nRobust Benefits Offered*:\nCompetitive Medical, Dental, Vision, and Disability & Life insurance benefits. Low (free basic) employee Medical costs for employee-only coverage; costs discounted after 3 and 5 years of service.\nGenerous Paid Time off. All new hires start with 15 days of vacation, 4 personal days, 10 sick days, and 11 paid holidays. Plus your birthday off after 1 year of service! Additional vacation accrued with tenure.\nFor onsite team members, onsite housing discount at Greystar-managed communities are available subject to discount and unit availability.\n6-Week Paid Sabbatical after 10 years of service (and every 5 years thereafter).\n401(k) with Company Match up to 6% of pay after 6 months of service.\nPaid Parental Leave and lifetime Fertility Benefit reimbursement up to $10,000 (includes adoption or surrogacy).\nEmployee Assistance Program.\nCritical Illness, Accident, Hospital Indemnity, Pet Insurance and L...","description_format":"text","description_chars":13293,"description_truncated":true,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Flexible schedule","Life insurance","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Real Estate","Residential Real Estate","Property Management"],"lifecycle":[{"event":"open","at":"2026-08-20T00:00:00Z"},{"event":"close","at":"2026-08-20T22:40:32Z"},{"event":"reopen","at":"2026-08-29T23:09:22Z"}],"visa":[],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":1,"p_active":0.264,"p_room":0.28,"age_days":64,"expected_fill_days":27,"reasons":["conf:19","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-23T05:54:15Z"},"pay":null,"html_url":"https://alion.io/job/greystar-data-platform-engineer","json_url":"https://alion.io/job/greystar-data-platform-engineer.json","meta":{"generated_at":"2026-10-23T13:09:44Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":19582,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-24T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4551},"rest":"https://alion.io/mcp/rest/get_company?id=4551"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgreystar-data-platform-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fgreystar-data-platform-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fgreystar-data-platform-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/greystar-data-platform-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgreystar-data-platform-engineer"}]}