Lead Data Engineer

🕒 il y a 1 jour

🤠 Texas – Distant

🤠 Texas – Remote

💵 $136 400 - $187 500 / an

⏰ Temps Plein

🟠 Senior

🚰 Ingénieur Data

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Trimble Inc.

Site WebLinkedInTous les Emplois

10 000+ employés

📦 Logistique

🏭 Fabrication

💼 Conseil

💰 Post-IPO Debt en 2022-12

Logistics • Manufacturing • Consulting

Dédié au monde de demain, Trimble est une entreprise technologique offrant des solutions qui permettent à nos clients de travailler différemment pour mesurer, construire, cultiver et déplacer des biens pour une meilleure qualité de vie. Les technologies de base dans le positionnement, la modélisation, la connectivité et l'analyse de données connectent les mondes numérique et physique pour améliorer la productivité, la qualité, la sécurité, la transparence et la durabilité. Des produits conçus sur mesure et des solutions de cycle de vie d'entreprise aux services cloud pour l'industrie, Trimble transforme des secteurs critiques tels que la construction, la géospatiale, l'agriculture et le transport pour alimenter un monde de travail interconnecté.

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

• 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