Role OverviewThe 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.
What You Will Do
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.
Why It Might Be a Fit
You will have the opportunity to work in a fast-paced, collaborative technology environment supporting business-critical data services. You will be responsible for designing, building, and operating enterprise data platforms, data pipelines, and database services.
Requirements
- 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.
Benefits
- 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
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