JOB DESCRIPTION

AI-Driven DataOps & Observability

• Implement AI-powered observability — using LLMs and ML models to detect pipeline drift, classify anomalies, predict SLA risk, and generate automated incident summaries
• Build agentic monitoring workflows that proactively surface data quality degradation, pipeline dropout, schema drift, and volume anomalies across all DMP layers
• Integrate AI tooling (Databricks Mosaic AI, Genie, OpenAI APIs, or equivalent) into operational DataOps processes — not as experiments, but as production-grade capabilities
• Develop and maintain AI-assisted root cause analysis tooling to reduce MTTR on pipeline failures, with structured learnings fed back into the platform
• Contribute to Greystar’s 18-month agentic AI roadmap, leading near-term delivery of self-healing pipeline capabilities

Azure Infrastructure & Integration

• Operate the full Azure data services stack supporting DMP: ADLS Gen2, Azure Data Factory (ADF), Azure Monitor, Log Analytics, Key Vault, and Event Hub
• Design and maintain ADF pipelines for source system ingestion, including orchestration patterns for multi-tenant ERP environments (Yardi, Entrata, RealPage)
• 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

Databricks Platform Engineering

• Own the design, build, and optimization of data pipelines on Databricks using Delta Live Tables (DLT), PySpark, Workflows, and Jobs across the full DMP medallion stack
• Administer and govern the Databricks workspace: Unity Catalog, cluster policies, access controls, compute configurations, and Delta table lifecycle management
• Tune Spark jobs for performance, reliability, and cost — profiling bottlenecks, optimizing partitioning, managing Z-ordering, and controlling compute spend
• Leverage Databricks Mosaic AI and Genie to build AI-native DataOps capabilities including intelligent pipeline monitoring, anomaly detection, and natural language data access
• Architect and enforce DMP platform standards: naming conventions, schema evolution policies, SLA tiers, and medallion layer contracts

CI/CD & Environment Deployments

• Own the full deployment pipeline for DMP data workflows — promoting changes from development through staging to production with rigor and minimal disruption
• Build and maintain CI/CD workflows using GitHub Enterprise, including branch strategies, pull request automation, environment-specific configuration management, and release gating
• Use Linear for sprint planning, release tracking, and issue management across deployment cycles; coordinate engineering work items with cross-functional stakeholders
• Enforce deployment standards: automated testing gates, rollback procedures, change documentation, and environment parity controls
• Partner with the analytics engineering and integration teams to align deployment cadences across the DMP stack

Data Quality & Governance

• Instrument DQ checks across Bronze, Silver, and Gold layers covering completeness, consistency, accuracy, uniqueness, and referential integrity
• Partner with Brett Finley’s Data Governance team to enforce data contracts, ownership standards, and quality SLAs within Unity Catalog
• Build feedback loops between DQ scoring, pipeline observability, and upstream source owners to drive systemic data reliability improvements

Collaboration & Documentation

• Partner with analytics engineers, data governance, and product stakeholders to align pipeline and platform design with business requirements
• Produce thorough technical documentation — runbooks, deployment playbooks, incident post-mortems, ADRs, and platform specs
• Participate in on-call rotation and support SLA commitments for business-critical DMP data domains

Required

• 7+ years of DataOps, data engineering, or platform engineering experience in a production environment
• Expert-level hands-on experience with Databricks: Delta Live Tables, Jobs/Workflows, Unity Catalog, Spark performance tuning, and Delta Lake internals
• Strong command of the Azure data services ecosystem: ADF, ADLS Gen2, Azure Monitor, Log Analytics, Key Vault, and related services
• Demonstrated, production use of AI tools in DataOps or data observability workflows — LLM-assisted diagnostics, intelligent alerting, agentic monitoring, or equivalent
• Proven CI/CD experience using GitHub Enterprise — branch strategies, PR automation, environment promotion, and release management for data pipelines
• Solid Python and/or Scala skills for pipeline development; SQL fluency for Gold layer transformation and DQ validation
• Hands-on experience with ADF pipeline design and orchestration at scale
• Experience with medallion / lakehouse architecture patterns and multi-environment deployment discipline
• Strong collaborative skills across engineering, governance, and business stakeholder teams

Preferred

• Experience with Linear for engineering sprint management and release tracking
• Familiarity with Databricks Mosaic AI, Genie, or other AI-native Databricks capabilities
• Exposure to agentic AI frameworks or MCP (Model Context Protocol) server integrations
• Background in real estate, property management, or multi-source ERP data environments (Yardi, Entrata, RealPage)
• Experience with Cosmos DB, Azure SQL, or similar operational data stores alongside lakehouse platforms
• Knowledge of data governance frameworks, data lineage tooling, and metadata management within Unity Catalog
• Background in legacy BI migration or platform modernization programs

• A high-impact role at the center of Greystar’s enterprise data transformation
• Collaborative, engineering-driven team culture with a strong focus on craft, automation, and continuous improvement
• Access to cutting-edge tooling — Databricks, full Azure stack, GitHub Enterprise, and an active AI innovation agenda
• Competitive compensation, comprehensive benefits, and flexible work arrangements
• Opportunity to define the DataOps discipline and lead Greystar’s self-healing pipeline and agentic AI roadmap

The salary range for this position is $120,000 - $150,000 USD Annually.

Additional Compensation:

Many factors go into determining employee pay within the posted range including business requirements, prior experience, current skills and geographical location.

• Corporate 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.
• Onsite Property Positions: In addition to the base salary, this role may be eligible to participate in weekly, monthly, and/or quarterly bonus programs.

Robust Benefits Offered*:

• Competitive 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.
• Generous 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.
• For onsite team members, onsite housing discount at Greystar-managed communities are available subject to discount and unit availability.
• 6-Week Paid Sabbatical after 10 years of service (and every 5 years thereafter).
• 401(k) with Company Match up to 6% of pay after 6 months of service.
• Paid Parental Leave and lifetime Fertility Benefit reimbursement up to $10,000 (includes adoption or surrogacy).
• Employee Assistance Program.
• Critical Illness, Accident, Hospital Indemnity, Pet Insurance and Legal Plans.
• Charitable giving program and benefits.

*Benefits offered for full-time employees. For Union and Prevailing Wage roles, compensation and benefits may vary from the listed information above due to Collective Bargaining Agreements and/or local governing authority.

Greystar will consider for employment qualified applicants with arrest and conviction records.

Greystar is an equal opportunity employer and does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, military or veteran status, or any other characteristic protected by applicable law.

This position may be performed remotely anywhere within the United States except the state of Alaska.

Important Notice: Greystar will never request your banking details or other sensitive personal information during the interview process. Greystar does not conduct any interviews via text or messaging, and all communication will come from official Greystar email addresses (@greystar.com). If you receive suspicious requests, please report them immediately to .

ANTICIPATED CLOSING DATE

This date may be subject to change due to evolving business needs.

Originally posted on Himalayas