Who We Are
Invitation Homes is a fast-paced evolving publicly traded REIT that is pioneering a new industry with over 110,000 single family rental homes and a market capitalization of over $25 billion. We are a team of more than 1,400 associates who come from all walks of life. We call different communities “home,” but our shared values bind us together. Invitation Homes is a place where possibility lives.
The Manager of Data Engineering will be responsible for leading and managing a Data Engineering team that is developing and maintaining software systems used by employees and partners of Invitation Homes. We are looking for a Technology Manager that has demonstrated progressive experience in coding, architecture leadership, and leading data engineers in a fast-paced environment. This position is a mix of partnering with our business stakeholders to identify and define data, analytics and reporting needs, solution design and architecture, and management responsibilities, with a strong emphasis on delivering technology solutions.
Invitation Homes does not offer employment-based visa sponsorship for this role at this time.
What You’ll Do
Enterprise Data Product & Stakeholder Collaboration
- Partner closely with Enterprise Data Product teams to translate strategic initiatives into technical designs, feature requirements, and engineering workplans.
- Work collaboratively with data product managers, analytics teams, and peer technology groups to identify data needs, define requirements, and prioritize backlog items.
- Support discovery sessions, refinement, architectural reviews, and cross-functional planning required to deliver enterprise equality data assets.
Pipeline Development Ownership
- Design, build, and launch scalable, efficient data pipelines for ingestion, transformation, and delivery across the Data Lake and Enterprise Data Warehouse.
- Own and manage data pipeline operations, including performance tuning, observability, maintenance, and optimization for cost and reliability.
- Serve as a hands-on technical leader: guide engineering decisions, write and review code, support debugging, and ensure adherence to engineering best practices.
- Ensure all data pipelines, models, and services align with Enterprise Data governance standards, including naming conventions, modeling guidelines, metadata completeness, and lineage expectations.
- Implement robust alerting, automation, and data reliability engineering practices to ensure data freshness, SLA compliance, and consistent availability for business-critical processes.
- Promote reusable patterns, shared assets, and cross-domain consistency to support enterprise reporting, analytics, and self-service capabilities.
Operational Leadership & Team Management
- Lead and manage a team of data engineers (onsite, offshore, and contract), including hiring, coaching, and professional development.
- Cultivate a collaborative, inclusive, and growth-oriented team culture aligned with company values.
- Define technical deliverables, timelines, milestones, and dependencies; ensure predictable, transparent delivery across sprint cycles.
- Support, troubleshoot, and resolve production data issues to ensure continuity of analytics, reporting, and operational workflows.
- Make informed recommendations on future data architectures, integration patterns, pipelines, and emerging technologies.
Who We’re Looking For
Required Qualifications
- Bachelor’s degree in computer science or equivalent experience.
- 5+ years of experience in data engineering, analytics engineering, or Business Intelligence, 2+ years in a hands-on technical leadership or management role.
- Strong foundation in data architecture, schema design, and dimensional modeling.
- Expertise in ETL/ELT development and modern cloud-based data warehouse technologies (Snowflake, Redshift, etc.).
- Experience with AWS cloud services, workflow orchestration (Airflow, AWS Glue), and transformation frameworks (dbt).
- Strong coding skills in Python/SQL and ability to guide the team through code reviews, design discussions, and debugging.
- Familiarity with one or more modern reporting stacks: Tableau, Power BI, Qlik, or Looker
- Experience working in Agile development environments and modern DevOps-aligned processes.
- Excellent communication, collaboration, and presentation skills; ability to align technical solutions with business needs.
Preferred Qualifications
- Experience with stream processing technologies (Kafka, Spark Streaming, Storm).
- Familiarity with Salesforce and Yardi data structures within real estate environments.
- Experience supporting enterprise data governance frameworks, data catalog platforms, or lineage tools.
- Prior work in semantic modeling
Why Invitation Homes
We stand for flexibility, opportunity, and a home that people can make their own. It’s as true for our associates as it is for our residents. Just like we help our residents live freer, we liberate our associates’ careers, t