5+ years of experience in enterprise data platforms and database services
2+ years of experience leading technical teams
Expertise in modern data pipeline patterns and integration techniques
Hands-on proficiency with cloud data platforms like Azure or AWS
Strong SQL skills and experience with various database types
Familiarity with data engineering languages such as Python and Spark
Knowledge of data security and governance best practices
Responsibilities
Lead and develop a team of data engineers and database administrators
Contribute to solution design and technical troubleshooting
Define and implement a scalable and secure enterprise data platform roadmap
Administer a modern data warehouse/lakehouse platform
Design and oversee data pipelines using orchestration and DataOps practices
Establish engineering standards for data platform development
Ensure data platforms meet service level agreements for quality and availability
Benefits
Excellent health benefits including medical, vision, and dental
401(k) with company match
Company profit sharing plan
Generous paid time-off and holidays
Paid parental leave
Access to on-site fitness facilities
Employee Assistance Program and Resource Groups
Personal and professional development opportunities
Full Job Description
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.
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