A property management organization is seeking a new Senior Manager, Data Engineering to lead platform engineering and team leadership efforts in a remote role aligned to U.S. Eastern or Central time. This position oversees the buildout of scalable data solutions, hands-on Databricks delivery, and the development of a high-performing data engineering team.
About the Opportunity:
Responsibilities:
Lead the design, build, and continuous improvement of scalable data pipelines, Lakehouse architectures, and data products.
Contribute hands-on to high-impact engineering work, including code reviews, architecture reviews, and complex troubleshooting.
Provide technical leadership across data quality, observability, security, governance, and platform standards.
Directly manage and develop a team of data engineers, including hiring, onboarding, coaching, performance management, and retention.
Plan, prioritize, and coordinate delivery across the team while managing risks, dependencies, and cross-functional stakeholder expectations.
Qualifications:
Significant data engineering experience with hands-on Databricks and Azure platform delivery.
Experience formally managing data engineers, including hiring, performance management, and career development.
Track record of delivering production-grade data platforms and pipelines at scale.
Experience leading technical work through influence in a global, matrixed environment.
Strong communication, stakeholder management, and prioritization skills.
Desired Skills:
Experience with commercial real estate or professional services environments.
Familiarity with Lakehouse, Unity Catalog, medallion, and data mesh architecture patterns.
Experience with DataOps practices and metadata-driven or configuration-driven pipeline frameworks.
Exposure to CI/CD and infrastructure-as-code tooling such as Azure DevOps, Databricks Automation Bundles, or GitHub Actions.
Experience working across multiple geographies and time zones.
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