Envoy
Tech / AI / Software
SeniorDataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Engineer at Envoy. Skills: dbt warehouse management, AI-native analytics tools, governed semantic layer design, metrics APIs, ingestion pipelines, SQL, Python, dimensional modeling, AI fluency. Own and extend our dbt warehouse (900+ models on Redshift), including dimensional modeling, snapshot strategy, macros, tests, and lineage hygiene. Build and operate AI-native analytics tools”
Industry & Context.
turning ambiguous business questions into trustworthy data products; Help us reduce orphan models and tighten governance; churn root-cause investigations; Jira ticket deduplication
What They're Looking For.
Must Have
5+ years of experience in analytics engineering, data engineering, or BI engineering, at least 2 years operating a production dbt project, Advanced SQL skills (window functions, CTEs, performance tuning) on a cloud warehouse — Redshift, Snowflake, BigQuery, or Databricks, dimensional modeling fundamentals (star/snowflake, slowly changing dimensions, grain discipline), Working proficiency in Python for data work — cleaning, transformation, scripting, and lightweight services (e.g., AWS Lambda), Hands-on experience with at least one modern BI tool (Sigma, Looker, Omni, Mode, Tableau), Demonstrated AI fluency: you actively use AI coding assistants in your workflow and can articulate where they help, where they hurt, and how you validate their output, written and verbal communication — you can explain a model, a metric, or a tradeoff to a non-technical executive without losing precision, High agency. You find problems before tickets land in your queue and ship work end-to-end
Nice to Have
Experience building or maintaining a semantic layer (dbt Semantic Layer, MetricFlow, Cube, LookML, etc.), Experience with MCP servers, LLM tool-calling, prompt engineering for analytics, or building AI agents over a warehouse, AWS infrastructure experience (Lambda, API Gateway, IAM, Terraform), Experience with Databricks, Airflow, or another orchestration layer, Background supporting Customer Success, Revenue Operations, or Finance teams in a B2B SaaS environment, Familiarity with vector search and Redshift ML or similar in-warehouse ML capabilities
What You'll Do.
Own and extend our dbt warehouse (900+ models on Redshift)
including dimensional modeling
Build and operate AI-native analytics tools
Contribute to AI and our broader MCP-based connector ecosystem (Lambda
design persona-aware prompt templates
and improve tool reliability
Design a governed semantic layer
Help define canonical metrics in YAML (MetricFlow-compatible)
align them with dimensional models
and ensure a single source of truth for ARR
and product engagement metrics
Build and maintain metrics APIs on AWS Lambda + API Gateway that power dashboards
and recurring executive outputs
Build new ingestion pipelines (e.g.
G2 reviews into Databricks following the Chargebee events pattern) and integrate new sources from Salesforce
Champion AI in your workflow
and Claude in Chrome to ship faster
How You'll Work.
Team & Collaboration
Partner with stakeholders across Customer Success, Revenue Ops, Sales Enablement, Product, and Finance — translating fuzzy questions into models, dashboards, and AI workflows that get used; Partner closely with senior leaders, including the CFO/COO, on outputs that land in their inboxes and decisions
Communication Scope
written and verbal communication — you can explain a model, a metric, or a tradeoff to a non-technical executive without losing precision
Process & Methodology
High agency. You find problems before tickets land in your queue and ship work end-to-end
Full Job Description
Envoy protects the places the world relies on most by unifying people, spaces, and communications in one secure, integrated workplace management platform and ecosystem. More than 16,000 workplaces around the world trust Envoy to run secure, compliant, and connected operations across every location. From manufacturing sites and data centers to life sciences labs, healthcare facilities, and corporate headquarters, Envoy unifies visitor management, risk assessment, mailroom management, digital signage software, resource booking, and emergency management into one integrated platform. With deep integrations across access control, identity, compliance screening, and collaboration tools—including LenelS2, Brivo, Genetec, Honeywell, Cisco Meraki, Okta, Microsoft Azure, Microsoft Teams, Slack, ServiceNow, DocuSign, Avigilon Alta, and Descartes Visual Compliance—Envoy helps organizations reduce risk, stay audit-ready, and operate with clarity at scale. Learn more at envoy.com http://envoy.com ABOUT ENVOY Envoy is the workplace platform that helps companies of every size manage their people, places, and visitors. Thousands of organizations — from startups to the Fortune 500 — rely on Envoy to bring people back to the office, deliver great in-person experiences, and turn the workplace into a strategic advantage. Behind the product is a fast-moving, AI-forward Data team that powers decision-making across Customer Success, Revenue Operations, Sales, Product, and Finance. This role is based in our San Francisco office on a hybrid schedule (4–5 days in-office per week). ABOUT THE ROLE We are hiring a Senior Data Engineer to join Envoy’s Data team and help us scale the next generation of our analytics and AI infrastructure. This is a high-leverage role at the intersection of data modeling, AI tooling, and business impact. You’ll work directly with leaders across Customer Success, Revenue, Product, and Finance — turning ambiguous business questions into trustworthy data products
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