Togetherwork
Tech / AI / Software
SeniorAnalyticsEngineer
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“Senior Analytics Engineer at Togetherwork. Skills: Analytics Engineering, Data Engineering, Data Modeling, Business Intelligence. Own the transformation layer of our data platform. Build clean, trusted, gold standard models that power self-service analytics”
What You'll Achieve.
Ensure the data our teams rely on is accurate, well-modeled, and built to scale; Stakeholders can trust and self-serve the data without engineering support; Reduce time spent on data preparation by the modeling team
Industry & Context.
Problem-solving approach
Candidates must have current, unrestricted authorization to work in the country where the role is based.
What They're Looking For.
Must Have
5+ years in analytics engineering or data engineering roles with direct ownership of data model design and delivery, Deep expertise in modern data modeling: dimensional modeling, star schema, and dbt are non-negotiable, Hands-on experience with cloud data warehouses: Redshift and/or Snowflake, Proven ability to translate business requirements into data models that non-technical stakeholders can use, Present data architecture decisions to a VP as clearly as you can to a fellow engineer, Experience leading data projects end to end in small, fast-moving teams, Comfort working in agile environments where priorities shift and ownership is broad
Nice to Have
Experience in a multi-product SaaS environment, Hands-on experience building dashboards and reports in Sigma or PowerBI, Familiarity with data ingestion tools, Exposure to AI/ML workflows and feature engineering
What You'll Do.
Own the transformation layer of our data platform
gold standard models that power self-service analytics
and maintain dimensional data models in Redshift
and structure raw data into staging
Leverage AI coding tools as a core part of your workflow
Define and enforce data quality standards
Continuously optimize queries
and pipelines for performance
well-structured datasets that directly support data science and AI/ML initiatives
How You'll Work.
Team & Collaboration
Work directly with product, engineering, data science, and business leaders; Cross-Functional Partnership; Translate business requirements from product, finance, and operations into reliable data models; Equally comfortable whiteboarding a data model with a data scientist and presenting reporting logic to a business stakeholder
Communication Scope
Present data architecture decisions to a VP as clearly as you can to a fellow engineer; Communication
Process & Methodology
Experience leading data projects end to end
Full Job Description
Senior Analytics Engineer Location: Austin, TX (hybrid) Schedule: Full-time | Hybrid (2–3 days in office) Work Authorization Notice: At this time, we are unable to provide immigration sponsorship for this position. Candidates must have current, unrestricted authorization to work in the country where the role is based. About Us Togetherwork is a $250M recurring revenue SaaS business with more than 33 software applications serving over 12 vertical markets. We help communities, organizations, and businesses thrive by delivering purpose-built software that supports their missions and operations. Headquartered on South Congress in Austin, TX, Togetherwork is scaling rapidly. We are customer-focused, execution-driven, and committed to operational excellence. Our teams value accountability, collaboration, and continuous improvement. About the Role Togetherwork is looking for a Senior Analytics Engineer who thrives at the intersection of data engineering and business intelligence. You will own the transformation layer of our data platform, taking raw data landed in our warehouse and building the clean, trusted, gold standard models that power self-service analytics across the organization. This is a hands-on individual contributor role with real influence. You will work directly with product, engineering, data science, and business leaders to ensure the data our teams rely on is accurate, well-modeled, and built to scale. What You’ll Do: Gold Standard Data Modeling: Design, build, and maintain dimensional data models in Redshift that serve as the single source of truth for analytics and reporting. Your models will power self-service in Sigma and PowerBI, built for business users, not just engineers. Data Transformation: Own the transformation layer end to end using dbt. Clean, enrich, and structure raw data into staging, intermediate, and mart layers following modern analytics engineering best practices. AI-Augmented Development: You will be expected to leverage AI coding t
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