Senior Manager, Data Engineering & Data Platform

At SolarWinds, we’re a people-first company. Our purpose is to enrich the lives of the people we serve—including our employees, customers, shareholders, partners, and communities. Join us in our mission to help customers accelerate business transformation with simple, powerful, and secure solutions. The ideal candidate thrives in an innovative, fast-paced environment and is collaborative, accountable, ready, and empathetic. We’re looking for individuals who believe they can accomplish more as a team and create lasting growth for themselves and others. We hire based on attitude, competency, and commitment. Solarians are ready to advance our world-class solutions in a fast-paced environment and accept the challenge to lead with purpose. If you’re looking to build your career with an exceptional team, you’ve come to the right place. Join SolarWinds and grow with us! The Role SolarWinds is mid‐stream in a major shift from a legacy SQL Server data warehouse + SSIS to a modern data platform on Google BigQuery and dbt, with Tableau, Vertex AI, and Glean on top. We’re hiring a Senior Manager, Data Engineering Data Platform to own the data transformation lifecycle : BigQuery projects and datasets across raw, staging, intermediate, and mart layers. Ingestion from core business systems via CData, BigQuery DTS, and modern ELT. dbt projects and CI/CD that turn raw data into governed, trusted marts for GTM, Finance, TR, and Exec reporting. This is a highly technical leadership role focused on data production, building and running the platform and core models that BI, Analytics Engineering, and Data Science depend on. Core Responsibilities 1. Own the BigQuery dbt Platform Act as operational owner for BigQuery: Project and dataset layout for raw / staging / intermediate / mart zones. IAM, service accounts, and Dataplex taxonomy. Performance tuning (partitioning, clustering, query design) and cost optimization. Define and enforce a medallion architecture and dbt project structure that scales across domains (GTM, Finance, TR, People). 2. Lead Ingestion Transformation Lead implementation of our Enterprise Ingestion Strategy: CData and BQ DTS for core systems (e.g., Salesforce, NetSuite, key SQL sources). Airbyte and vendor exports for SaaS/event sources (e.g., Pendo, Gong, Zoom). Own the core dbt projects: Structure models from staging → intermediate → marts with strong tests and documentation. Maintain CI/CD for dbt (build, test, deploy) and set code review standards. 3. Reliability, SLAs Data Quality Define and track SLOs/SLAs for freshness, completeness, and reliability of critical GTM/Finance and TR-facing marts. Embed: dbt tests (schema, PK/FK, business rules, freshness). Monitoring and alerting for pipeline health and anomalies. Runbooks and incident workflows for the data platform. Drive continual reduction in incident volume and MTTR for data issues. 4. Cost Performance Management Own BigQuery cost visibility and optimization: Track compute and storage spend by project/domain. Identify and fix expensive queries and anti‐patterns. Work with Finance/IT on budgets and cost guardrails. 5. Governance Security Implement and uphold data governance standards with the Data Governance team: Dataset/model ownership, stewardship, and certification. BigQuery security patterns (policy tags, row/column security, roles). Catalog completeness for migrated assets in Dataplex/metadata tooling. Ensure sensitive domains (e.g., HR/People, Gong/Zoom, security‐relevant data) follow elevated controls and approved sharing patterns. 6. Lead the Data Engineering Platform Team Manage and mentor a 6–9 person Data Engineering team (Austin, Cork, Philippines), with potential to grow. Set priorities, align work to business outcomes, and build a high‐standards engineering culture (tests, docs, reviews, KT). Operate a pod‐based, sprint‐driven model: Integrate internal DEs, an embedded Lirik pod, and TR contributors into one cohere ... (truncated, view full listing at source)