Director, Analytics Engineering – BI Platform

Smartsheet

Analytics Engineering leader at Smartsheet driving data governance and intelligence capabilities. Lead core data models and collaborate with Finance, RevOps, Product, and Engineering teams.

Posted 5/22/2026full-timeRemote • 🇺🇸 United StatesLead💰 $223,750 - $261,250 per yearWebsite

Tech Stack

Tools & technologies

AirflowCloudETLMicroservicesPythonSQLTableauUnityVault

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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

Comp & perks

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)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLPythondbtData Vault 2.0Medallion architectureDataOpsCI/CDautomated testing frameworksdata governancereverse-ETL

Soft Skills

people managementprogram managementcross-functional collaborationrelationship buildingstrategic decision-makingcommunicationleadershipanalytical thinkingproblem-solvingnarrative translation