Senior Manager, Analytics Engineering

Senior Manager, Analytics Engineering
At SolarWinds, we're a peoplefirstpany. Our purpose is to enrich the lives of the people we serve—including our employees, customers, holders, partners, andmunities. Join us in our mission to help customers accelerate business transformation with simple, powerful, and secure solutions.
The ideal candidate thrives in an innovative, fastpaced environment and is collaborative, accountable, ready, and empathetic. We're looking for individuals who believe they can aplish more as a team and create lasting growth for themselves and others. We hire based on attitude,petency, andmitment. Solarians are ready to advance our worldclass solutions in a fastpaced environment and accept the challenge to lead with purpose. If you're looking to build your career with an exceptional team, you'vee to the right place. Join SolarWinds and grow with us
Role Overview
SolarWinds 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 analyticsready 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 toe. ing 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 Responsibilities
Platform Migration Leadership Own the endtoend migration plan from SQL ServerSSIS to BigQuerydbtCData, including sequencing, data validation, cutover strategy, and rollback planning. Define and enforce migration quality standards rowcount reconciliation, business rule parity, pipeline SLAs. Manage stakeholdermunication 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 CICD pipeline integration. Own the semanticmetrics 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 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. CrossFunctional 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 contractmitments — 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 firstclass artifact, consumable by the Data Governance function. Ensure BigQuery datasetlevel access controls align with data classification policies (PII, confidential, internal, public). Support GDPR, SOX, and applicable data privacy requirements through pipeline design — including righttoerasure patterns, audit logging, and data retention enforcement. Partner with Data Governance on data quality SLAs define, instrument, and report on freshness,pleteness, and accuracy metrics for owned datasets. Required Experience
+ years handson dbt in production environments (models, tests, sources, macros, CICD) BigQuery at production scale (partitioning, clustering, IAM, dataset architecture, cost controls) Proven data platform migration experience from legacy ETLELT tooling (SSIS, Informatica, etc.) + years managing distributed or offshore engineering teams with demonstrated team development oues Connectorbased ingestion platform experience (CData, Fivetran, Airbyte, or equivalent) Strong data modeling fundamentals dimensional modeling, data vault, or medallion architecture Crossfunctional stakeholdermunication ability to partner with BI, Data Science, and Governance peers Strong Differentiator
Experience with dbt Semantic Layer or MetricFlow for governed metric definitions BigQuery FinOps experience slotmitments, reservation policies, query cost attribution Direct SSIStodbt migration experience; understanding of SQL Serverspecific migration patterns Experience managing Manila or APACbased teams specifically; asyncfirst culture design Handson CData Sync experience across JDBC or RESTbased source systems Experience publishing data contracts or operating a data mesh data product model Prior experience in ananization with separate, mature BI, DS, and DG functions reporting to a CDAOVP Compensation Base salary range for this role in California is $K - $K annually, depending on experience. This role may also be eligible for bonus, along with aprehensive benefits package.
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.
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