Lead Data Engineer

Trimble Inc.

Lead Data Engineer modernizing Document Crunch’s AI-powered risk intelligence data platform at Trimble. Building governed pipelines, analytics foundations, and AI-ready enterprise data integration.

Posted 8/5/2026full-timeRemote • Texas • 🇺🇸 United StatesSenior💰 $136,400 - $187,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data platform architecture, including migration from Redshift to Snowflake, and the implementation of ingestion pipelines and data models. Proficient in data governance, product telemetry, and enabling self-service analytics for enterprise systems.

Highest-signal resume keywords

Redshift-To-Snowflake MigrationData Platform ArchitectureIngestion Pipelines DevelopmentData Governance CollaborationDimensional Data Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureIngestion PipelinesWarehouse ModelsTransformation LayersData ContractsDeployment WorkflowsDimensional Data ModelsData ObservabilityBusiness-Rule ValidationMetadata Catalogs

Soft Skills

Technical LeadershipCross-Functional CollaborationInfluencing Architecture Standards

Tools & Technologies

SnowflakeCRM SystemsBusiness Intelligence ToolsEnterprise Data IntegrationNatural-Language Querying

Industry Keywords

Data GovernanceMaster Data ManagementCustomer 360Data Quality ControlsAI Agents

Tech Stack

Tools & technologies

Amazon Redshift

About the role

Key responsibilities & impact

Own the technical architecture and roadmap for Document Crunch data systems
Lead migration from Redshift to Snowflake, including assessment, target design, sequencing, validation, and cutover
Build and maintain ingestion pipelines, warehouse models, transformation layers, orchestration, data contracts, and deployment workflows
Implement standardized product telemetry and integrate CRM and operational data into Trimble enterprise systems
Map data into Trimble processed-layer and Customer 360 master entities
Partner on master data management, survivorship rules, cleansing, identity resolution, and reconciliation
Define dimensional, domain, and semantic data models for analytics, reporting, and AI
Implement data-quality controls, observability, alerting, lineage, and incident response
Establish data freshness, reliability, completeness, and recovery expectations
Onboard metadata into the enterprise catalog and establish glossary, ownership, and lineage standards
Document business logic, metric definitions, data contracts, and source-of-truth decisions
Partner with Security, Privacy, Legal, and Data Governance teams on access, retention, and policy requirements
Own the foundation for executive dashboards and self-service analytics
Evaluate and rationalize BI tools, data products, and reporting workflows
Develop data and semantic foundations for conversational analytics, AI agents, natural-language querying, and AI-assisted dashboards
Build or integrate secure interfaces for approved AI systems to discover and use governed data
Serve as Document Crunch’s primary technical and operational contact for the Trimble Data Team
Lead workshops, architecture reviews, roadmap alignment, and knowledge exchange across stakeholders
Codify the integration into a reusable, code-driven M&A Data Integration Playbook

Requirements

What you’ll need

Hands-on technical leadership in end-to-end data platform architecture and engineering
Ability to modernize a data estate and align it with enterprise standards
Experience with Redshift-to-Snowflake migration, including architecture, validation, and cutover
Experience building ingestion pipelines, warehouse models, transformation layers, orchestration, data contracts, and deployment workflows
Knowledge of warehouse-as-code practices
Ability to implement product telemetry and enterprise data integration
Experience with CRM, operational data, master data, Customer 360, identity resolution, and reconciliation
Experience defining dimensional, domain, and semantic data models
Experience implementing dbt tests, business-rule validation, asset checks, and pipeline alerting
Knowledge of data observability, freshness, volume anomalies, schema drift, lineage, and incident response
Experience with metadata catalogs, business glossaries, ownership models, lineage standards, and data governance
Ability to work with Security, Privacy, Legal, and enterprise Data Governance teams
Experience enabling executive dashboards, self-service analytics, and BI rationalization
Knowledge of conversational analytics, AI agents, natural-language querying, Snowflake Cortex Search, Cortex Agents, enterprise NLP frameworks, and MCP-style services
Ability to lead cross-functional architecture reviews, workshops, roadmap alignment, and knowledge exchange
Ability to influence architecture and standards without an initial people-management mandate
Minimal travel requirement

Benefits

Comp & perks

Bonus eligible
Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
Time off plans
Retirement plans
Tax savings plans for health, dependent care, and commuter expenses
Paid Parental Leave
Employee Stock Purchase Plan
Minimal travel
Collaborative, supportive team culture
Entrepreneurial environment with ownership and initiative
Equal opportunity and reasonable accommodation support