Senior Manager, Analytics Engineering

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! Role OverviewSolarWinds is undergoing a transformative shift in its data platform — migrating from SQL Server and SSIS to a modern ELT stack built on Google BigQuery, dbt, and CData. This role leads the team responsible for executing that migration and operating the resulting platform at scale. The Senior Manager, Analytics Engineering owns the intersection of data engineering and analytics: ingestion reliability via CData, transformation governance through dbt, and the delivery of analytics-ready datasets that serve Business Intelligence, Data Science, and Data Governance functions. This is not a maintenance role — it is a build role that will define how SolarWinds manages enterprise data for years to come. Reporting directly to the Head of Enterprise Data, this leader manages a distributed team of five Data Engineers across Austin, TX and Manila, Philippines, and serves as a peer to leaders in BI, Data Science, and Data Governance. Core ResponsibilitiesPlatform Migration Leadership Own the end-to-end migration plan from SQL Server/SSIS to BigQuery/dbt/CData, including sequencing, data validation, cutover strategy, and rollback planning. Define and enforce migration quality standards: row-count reconciliation, business rule parity, pipeline SLAs. Manage stakeholder communication on migration status, risks, and timelines. dbt Governance & Transformation Layer Ownership Architect and govern the dbt project structure: sources, staging, intermediate, and mart layers. Establish and enforce dbt development standards: naming conventions, testing requirements, documentation coverage, and CI/CD pipeline integration. Own the semantic/metrics layer as a governance artifact — ensuring definitions align with Data Governance policies and BI consumption patterns. Data Engineering Operations Oversee CData Sync configuration, connector management, and ingestion reliability across all data sources. Manage BigQuery cost optimization: partitioning strategies, clustering, slot reservations, and query performance. Maintain pipeline observability — alerting, data quality monitoring, and incident response SLAs. People & Team Leadership Directly manage 5 Data Engineers across Austin and Manila; build individual development plans and career pathways. Partner with the Head of Enterprise Data on headcount planning, hiring, and team structure as the platform matures. Cross-Functional Partnership Serve as the primary interface between the Data Engineering team and leaders in BI, Data Science, Data Governance and GTM / Technology Leaders. Translate upstream data platform decisions into downstream data contract commitments — SLAs, schema stability, freshness guarantees. Participate in enterprise data governance forums and contribute to data lineage, data quality, and data classification initiatives. Governance Maintain data lineage metadata for all dbt models as a first-class artifact, consumable by the Data Governance function. Ensure BigQuery dataset-level access controls align with data classification policies (PII, confidential, internal, public). Support GDPR, SOX, and applicable data privacy requirements through pipeline design — including right-to-erasure patterns, audit logging, and data retention enforcement. Partner with Data Governance on data quality SLAs: define, instrument, and report on freshness, completeness, and accuracy metrics for owned datasets. Required Experience5+ years hands-on dbt in production environments (models, tests, sources, macros, CI/CD) BigQuery at production scale (partitioning, clustering, IAM, dataset architecture, cost controls) Proven data platform migration experience from legacy ETL/ELT tooling (SSIS, Informatica, etc.) 3+ years managing distributed or offshore engineering teams with demonstrated team development outcomes Connector-based ingestion platform experience (CData, Fivetran, Airbyte, or equivalent) Strong data modeling fundamentals: dimensional modeling, data vault, or medallion architecture Cross-functional stakeholder communication: ability to partner with BI, Data Science, and Governance peers Strong DifferentiatorExperience with dbt Semantic Layer or MetricFlow for governed metric definitions BigQuery FinOps experience: slot commitments, reservation policies, query cost attribution Direct SSIS-to-dbt migration experience; understanding of SQL Server-specific migration patterns Experience managing Manila or APAC-based teams specifically; async-first culture design Hands-on CData Sync experience across JDBC or REST-based source systems Experience publishing data contracts or operating a data mesh / data product model Prior experience in an organization with separate, mature BI, DS, and DG functions reporting to a CDAO/VP  SolarWinds is an Equal Employment Opportunity Employer. SolarWinds will consider all qualified applicants for employment without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity, marital status, disability, veteran status or any other characteristic protected by law.All applications are treated in accordance with the SolarWinds Privacy Notice: https://www.solarwinds.com/applicant-privacy-notice