Head of Data

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. Design, build, and run data pipelines and ETL/ELT feeding the cloud data warehouse.

Posted 10/8/2026full-timeRemote • United StatesLead💰 $195,000 - $213,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and running production data pipelines and ETL/ELT processes for cloud data warehouses, with a strong focus on data reliability, observability, and AI integration. Capable of leading a team while effectively communicating technical concepts to non-technical stakeholders.

Highest-signal resume keywords

SQLPythonData Pipeline DevelopmentAI/ML Production ExperienceData Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETLELTData ModelingData ValidationObservabilityMetrics LayerSemantic LayerData ContractsCloud Data WarehouseOrchestration

Soft Skills

Team LeadershipCommunicationCollaboration

Tools & Technologies

MCPAnalytics Engineering (dbt)SalesforceBI Enablement

Industry Keywords

FintechNonprofit SectorGTM DataRevenue Reconciliation

Tech Stack

Tools & technologies

CloudETLPythonSQL

About the role

Key responsibilities & impact

Design, build, and run data pipelines and ETL/ELT feeding the cloud data warehouse.
Own data freshness, reliability, cost, coverage, latency, and infrastructure improvements.
Build and maintain data models, tests, validation, observability, lineage, metrics, semantic layers, and documentation.
Provide a standardized, versioned definitions library.
Set data contracts for internal AI and programmatic access, including MCP.
Establish the source of truth for business and finance data.
Partner with Product Analytics, Product ML, and AI builders on roadmaps.
Lead and review the work of a two-person team, then grow the function.
Ship one major internal AI-powered initiative every quarter.
Actively use AI in day-to-day work and identify opportunities to apply AI.

Requirements

What you’ll need

Personally built and run production pipelines/ELT into a cloud data warehouse.
Strong SQL and Python, orchestration, and warehouse modeling skills.
Hands-on experience building a trusted, self-serve data layer with tests, observability, lineage, a metrics or semantic layer, and documentation.
Experience defining contracts between a data platform and programmatic consumers, including schemas, semantics, guarantees, and scoped access.
Shipped AI/ML to production and can evaluate which ideas are worth building.
Experience providing data for analytics and ML teams and reconciling revenue, finance, and GTM data.
Built or scaled a data capability from a small base as its founding technical leader.
Ability to explain modeling decisions to non-technical executives in business terms.
Nice to have: deeper LLM/agentic experience, orchestration frameworks, evals, RAG; MCP servers or internal APIs; analytics engineering (dbt) and BI enablement; Salesforce and GTM systems data; payments, fintech, or nonprofit-sector exposure.

Benefits

Comp & perks

Health, Dental, and Vision insurance covered at 100% for employees, 80% for employee plus dependents, and 70% for employees plus family.
FSA and HSA Spending Account.
20 days of vacation, 5 sick days, 11 company holidays plus an additional 1 floating holiday.
401(k) plan with company match.
100% Company-paid short-term disability, long-term disability, basic life insurance and AD&D.
Paid parental leave (12 weeks for primary caregivers / 6 weeks for secondary caregivers).
Generous home office stipend to support your remote workspace.
Annual professional development stipend to support your growth (e.g., workshops, courses, and seminars).
Charitable giving program and paid volunteer time off with registered non-profits.