Note: The job is a remote job and is open to candidates in USA. Smartsheet has empowered teams to manage work seamlessly for over 20 years and is now seeking a Director of Analytics Engineering & BI Platform. This role involves leading the analytics engineering strategy, overseeing data governance, and collaborating with various teams to ensure data quality and reliability.
Responsibilities
- Lead analytics engineering strategy and execution, owning the design and evolution of core data models using modern practices — Data Vault, dimensional modeling, dbt on Snowflake — with a clear roadmap toward a Databricks lakehouse architecture
- Own the company-wide semantic layer and metrics store, ensuring Bookings, ARR, NDRR, and other critical business metrics have a single, version-controlled, trusted definition consumable by every downstream tool and AI agent
- Drive Finance Analytics, including ownership of Bookings, ARR, NDRR, segment and territory reporting, and month-end close pipelines, partnering closely with Finance and Revenue Operations
- Set the standard for data governance and data quality, including discoverability, lineage, access controls, and data contracts between upstream producers and downstream consumers — leveraging Atlan, Unity Catalog, and Monte Carlo
- Own data egress and reverse-ETL strategy, governing pipelines from the data warehouse to downstream platforms including Salesforce, Marketo, Gainsight, Outreach, Thoughtspot, Tableau, and Amplitude
- Shape our AI data strategy, ensuring data assets are structured, documented, and governed to serve as reliable foundations for AI agents, LLM-based analytics, and intelligent product features — while driving data-as-a-product principles and platform cost discipline
- Lead cross-functional strategic programs including Quote-to-Cash modernization, unified customer data modeling, and the Snowflake-to-Databricks migration, acting as a key decision-maker across multi-quarter initiatives
- Develop cross-team relationships across functional leadership and BI partners to ensure we are meeting existing analytics needs and are well-positioned to meet the needs of the future
- Build, develop, and lead a high-performing team, managing vendor and partner relationships, and evolving team capabilities to meet the demands of a rapidly maturing data platform
Skills
- 10+ years in analytics engineering, data engineering, or a closely related technical discipline, with 5+ years of people management and a track record of developing senior ICs and leads
- Deep hands-on proficiency in SQL, Python, and dbt with strong experience on Databricks, familiarity with Snowflake
- Proven experience with Finance and Revenue analytics — Bookings, ARR, NDRR, Quote-to-Cash — and demonstrated ability to partner effectively with Finance and RevOps stakeholders
- Expert-level data modeling skills spanning Data Vault 2.0 (hub/satellite/link design), Medallion architecture (Bronze/Silver/Gold layer design for lakehouse environments), and Semantic Layer development (dbt Semantic Layer,) — with the ability to set modeling standards and make authoritative architectural decisions across all three paradigms
- Deep understanding of DataOps and data reliability practices, including CI/CD for data pipelines, automated testing frameworks (dbt tests), and orchestration governance (Airflow), layered data presentations
- Demonstrated ownership of data governance programs at scale — quality, lineage, cataloging, access management — including data contract design between producers and consumers
- Experience operating and managing data egress and reverse-ETL pipelines to CRM, marketing automation, and customer success platforms
- Experience leading cloud data platform migrations (Snowflake, Databricks, or comparable lakehouse architectures) and familiarity with AI/ML-adjacent data requirements including feature stores, embedding-ready models, and the infrastructure needs of LLM and agentic applications
- Strong program management instincts with the ability to navigate complex, cross-functional initiatives and translate technical complexity into clear narratives for executive and practitioner audiences alike
- Experience in a SaaS organization with familiarity with microservices-based product architectures, and a conviction that data modeling is software engineering — held to the same standards of testing, documentation, and deployment rigor
Benefits
- Employer subsidized medical/vision and dental coverage for full-time employees
- 401k Match to help you save for your future (50% of your contribution up to the first 6% of your eligible pay)
- Monthly stipend to support your work and productivity
- Flexible Time Away Program, plus Sick Time Off
- US employees are automatically covered under Smartsheet-sponsored life insurance, short-term, and long-term disability plans
- US employees receive 12 paid holidays per year
- Up to 24 weeks of Parental Leave
- Personal paid Volunteer Day to support our community
- Opportunities for professional growth and development including access to Udemy online courses
- Company Funded Perks, including a counseling membership, local retail discounts, and your own personal Smartsheet account
- Teleworking options from any registered location in the U.S. (role specific)
Company Overview
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