Senior Manager, Data Platform Engineering
SolarWinds · Austin, Texas
About this role
## Senior Manager, Data Platform Engineering At SolarWinds, we’re a people-first company. Join our mission to help customers accelerate business transformation with simple, powerful, and secure solutions. ### Role Overview SolarWinds is hiring a **Senior Manager, Data Platform Engineering** to build and lead the team responsible for administering and configuring the Enterprise Data tech stack: **Fivetran, BigQuery, Dataplex, dbt, and Tableau**. This is a **working-manager (player-coach)** role—not a pure people-management position. The team is small today, and you’ll be expected to stay technically close to the platform: setting patterns, making architecture calls, and personally covering tech-stack administration the team hasn’t yet grown to cover—while delegating hands-on execution to your report(s) where it exists. You’ll balance hands-on technical leadership with people management: coaching your team, setting goals, and representing the platform in cross-functional planning with adjacent teams. ### Key Responsibilities **Team leadership & people management** - Lead, coach, and grow the Data Platform Engineering team (starting with one direct report, with a plan to scale as workload and budget allow). - Run regular 1:1s, set clear goals, and manage performance and career development for direct report(s). - Own hiring for the team as it grows, partnering with People and the hiring committee on leveling and comp. **Platform architecture & technical direction** - Own architecture standards and the technical roadmap across the Enterprise Data tech stack (Fivetran, BigQuery, Dataplex, dbt, Tableau). - Make build-vs-buy and platform-pattern decisions that shape how the team executes day to day. - Stay hands-on enough to unblock the team on hard technical problems, without personally owning routine operational work. **Data tech stack administration & configuration** - Ensure Fivetran, BigQuery, Dataplex, dbt, and Tableau are properly administered and configured (access, environments, and platform settings across the stack). - Own **dbt Cloud** platform administration (environments, scheduling, CI/CD, access). Model development and transformation logic remain with Data Engineering. - Own **Tableau** platform administration (user access, groups, permissions, licensing), scaling this to a dedicated hire as the team grows. - Set and maintain configuration standards so the stack stays consistent, secure, and auditable as the team scales. **Execution oversight** - Ensure the team’s reliability, cost, and governance commitments are met across ingestion, BigQuery, Dataplex/PII access, dbt, and Tableau. - Review and prioritize the team’s operational backlog against the platform roadmap. **Cross-functional partnership** - Represent the Data Platform Engineering pillar in planning with Data Engineering, Data Governance, Cloud Security, and Business Intelligence. - Negotiate priorities and dependencies with adjacent teams on the team’s behalf (so individual engineers aren’t managing relationships alone). ### Required Experience **Technical depth** - Deep, hands-on background in **Google Cloud Platform, BigQuery, and Dataplex**—enough to retain technical credibility and keep setting standards. - Hands-on experience administering and configuring **dbt** (or a comparable transformation platform) and **Fivetran** (or a comparable ELT tool). - Experience administering **Tableau** (or a comparable BI platform): permissions, licensing, and platform
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