Sr. Manager, Data Platforms

Posted Yesterday
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Gallatin, TN, USA
In-Office
Senior level
Professional Services • Real Estate • Industrial
The Role
Leads the design, engineering, reliability, security, and evolution of the enterprise data platform. Manages data engineers and database administrators while contributing hands-on to architecture, pipelines, databases, troubleshooting, performance tuning, governance, and production support. Owns platform roadmaps, DataOps standards, monitoring, disaster recovery, capacity, vendor services, and incident resolution. Partners with architecture, analytics, security, infrastructure, data science, and business teams to deliver scalable, governed, and dependable data products.
Summary Generated by Built In

What we offer

  • Excellent health benefits plan, which includes medical, vision and dental options
  • 401(k) with company match
  • Company profit sharing plan
  • Generous paid time-off and paid holidays
  • Paid parental leave
  • 2 free on-site fitness rooms
  • Employee Assistance Program
  • Employee Resource Groups
  • Personal and professional development program

Job Summary

The Sr. Manager, Data Platforms role is a hands-on technology leader responsible for the design, delivery, reliability, security, and ongoing evolution of the enterprise data platform. This position leads data engineers and database administrators while remaining actively involved in architecture, engineering, troubleshooting, and operational support. The Sr. Manager establishes modern data pipeline practices, enables trusted and timely data access, and ensures database and platform services are scalable, resilient, cost-effective, and aligned with business priorities. This role partners with data architecture, analytics, application, infrastructure, security, and business teams to deliver governed data products and dependable platform capabilities.

You will

  • Lead, coach, and develop a team of data engineers and database administrators responsible for enterprise data pipelines, databases, integrations, and platform services.
  • Serve as a hands-on technical leader by contributing to solution design, engineering, code and design reviews, troubleshooting, performance tuning, and production support.
  • Define and implement the roadmap for a modern, scalable, secure, and resilient enterprise data platform.
  • Administer and operate a modern enterprise data warehouse/lakehouse platform, including bronze, silver, and gold medallion layers, with responsibility for data ingestion, transformation, storage, access, performance, security, monitoring, data quality, governance, and lifecycle management.
  • Design and oversee batch, streaming, and event-driven data pipelines using modern orchestration, transformation, integration, and DataOps practices.
  • Establish engineering standards for reusable pipeline patterns, source control, automated testing, CI/CD, infrastructure as code, observability, documentation, and release management.
  • Oversee the administration, availability, backup, recovery, patching, security, capacity, and performance of structured, semi-structured, and non-structured data.
  • Ensure data platforms and pipelines meet defined service levels for availability, data quality, freshness, throughput, recoverability, and incident response.
  • Implement monitoring, alerting, logging, lineage, and operational instrumentation to provide end-to-end visibility into platform health and data flow.
  • Partner with architecture, analytics, application, security, infrastructure, and business teams to translate requirements into sustainable data platform solutions.
  • Support enterprise data governance by implementing appropriate access controls, encryption, retention, auditability, metadata, lineage, and data quality controls.
  • Lead incident resolution and root-cause analysis for data platform and database issues, and ensure corrective actions reduce recurring failures.
  • Manage platform capacity, licensing, cloud consumption, and vendor services to improve performance and control cost.
  • Plan and execute platform upgrades, migrations, modernization initiatives, business continuity, and disaster recovery testing.
  • Partner with Data Science, Geospatial Service, and Business Analytics teams to deliver high-quality data products to the SERVPRO system.
  • Participate in development and execution of the overall data and technology strategy.

You have

  • Five or more years of experience designing, building, and operating enterprise data platforms, data pipelines, and database services.
  • Two or more years of experience leading data engineers, database administrators, or comparable technical teams.
  • Expert knowledge of modern data pipeline patterns, including batch and streaming ingestion, orchestration, transformation, data integration, change data capture, and API- or event-based integration.
  • Hands-on proficiency with cloud data platforms and services, such as Microsoft Azure, Amazon Web Services, Snowflake, Databricks, Microsoft Fabric, or comparable technologies.
  • Strong SQL skills and experience developing or supporting solutions across relational, analytical, and non-relational databases.
  • Experience with data engineering languages and frameworks such as Python, Spark, SQL, or comparable technologies.
  • Proficiency with source control, automated testing, CI/CD, infrastructure as code, and DevOps practices for data platforms (DataOps).
  • Strong knowledge of database administration, performance tuning, high availability, backup and recovery, security, capacity planning, and disaster recovery.
  • Understanding of data architecture concepts, including data lakes, lakehouses, warehouses, dimensional models, data products, metadata, lineage, and master or reference data.
  • Strong understanding of data security, privacy, governance, access management, encryption, retention, and audit requirements.
  • Demonstrated ability to diagnose complex platform and data issues, make sound technical decisions, and communicate tradeoffs to technical and business audiences.
  • Ability to communicate with employees, customers, suppliers, and technology partners clearly, directly, and professionally in person, by phone, and in writing.

Education

  • Bachelor’s degree in computer science, information systems, data engineering, or a related field preferred; equivalent relevant experience will be considered.

Working Conditions

  • Fast-paced, collaborative technology environment supporting business-critical data services.
  • Standard working hours based on a 40-hour work week.
  • Additional working hours and participation in after-hours support may be required for production incidents, maintenance, releases, and project deadlines.
  • Minimal travel as required for business needs.
  • Work location: On-site/hybrid.

About SERVPRO

For more than 50 years, SERVPRO® has been a trusted leader in fire and water cleanup and restoration services, mold mitigation, construction, biohazard and pathogen remediation throughout the United States and Canada. Our 2,200+ individually owned and operated franchises are supported by our dedicated headquarters team. We strive to cultivate a professional community that respects and celebrates the things that make us unique, the things we share, and the collaborative spirit we bring to the work we pursue together.

SERVPRO is an equal opportunity employer. All applicants will be considered for employment without attention to age, race, color, religion, gender, sexual orientation, national origin, veteran or disability status.

Skills Required

  • Five or more years designing, building, and operating enterprise data platforms, data pipelines, and database services
  • Two or more years leading data engineers, database administrators, or comparable technical teams
  • Expert knowledge of batch and streaming ingestion, orchestration, transformation, data integration, change data capture, and API- or event-based integration
  • Hands-on proficiency with cloud data platforms such as Microsoft Azure, Amazon Web Services, Snowflake, Databricks, or Microsoft Fabric
  • Strong SQL skills and experience with relational, analytical, and non-relational databases
  • Experience with Python, Spark, SQL, or comparable data engineering technologies
  • Proficiency with source control, automated testing, CI/CD, infrastructure as code, and DevOps practices
  • Knowledge of database administration, performance tuning, high availability, backup and recovery, security, capacity planning, and disaster recovery
  • Understanding of data lakes, lakehouses, warehouses, dimensional models, data products, metadata, lineage, and master or reference data
  • Understanding of data security, privacy, governance, access management, encryption, retention, and audit requirements
  • Ability to diagnose complex platform and data issues and communicate technical tradeoffs to technical and business audiences
  • Ability to communicate clearly and professionally with employees, customers, suppliers, and technology partners
  • Bachelor's degree in computer science, information systems, data engineering, or a related field; equivalent experience considered
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The Company
7,100 Employees
Year Founded: 1967

What We Do

Servpro Industries, LLC is a leading franchisor specializing in fire, water, and mold cleanup and restoration services across the United States and Canada. The company provides residential and commercial property emergency services and large-scale disaster recovery. With a mission to be the premier cleaning and restoration company in the world, Servpro supports thousands of independent entrepreneurs through its extensive franchise system.

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