
Lead Data Engineer
Posted Aug 5

Posted Aug 5
This is a fully remote position, open to applicants in Texas.
• Take charge of the technical architecture and roadmap for Document Crunch's data systems.
• Spearhead the migration from Redshift to Snowflake, encompassing assessment, target design, sequencing, validation, and cutover.
• Construct and sustain ingestion pipelines, warehouse models, transformation layers, orchestration, data contracts, and deployment workflows.
• Apply standardized product telemetry and incorporate CRM and operational data into Trimble's enterprise systems.
• Map data into Trimble's processed layer and Customer 360 master entities.
• Collaborate on master data management, survivorship rules, cleansing, identity resolution, and reconciliation.
• Define dimensional, domain, and semantic data models for analytics, reporting, and AI.
• Enforce data-quality controls, observability, alerting, lineage tracking, and incident response.
• Set expectations for data freshness, reliability, completeness, and recovery.
• Onboard metadata into the enterprise catalog while establishing glossary, ownership, and lineage standards.
• Document business logic, metric definitions, data contracts, and source-of-truth decisions.
• Collaborate with Security, Privacy, Legal, and Data Governance teams regarding access, retention, and policy requirements.
• Establish the foundation for executive dashboards and self-service analytics.
• Assess and rationalize BI tools, data products, and reporting workflows.
• Create data and semantic frameworks for conversational analytics, AI agents, natural-language querying, and AI-assisted dashboards.
• Build or integrate secure interfaces for sanctioned AI systems to discover and utilize governed data.
• Act as Document Crunch’s primary technical and operational liaison for the Trimble Data Team.
• Facilitate workshops, architecture reviews, roadmap alignment, and knowledge exchange among stakeholders.
• Codify the integration into a reusable, code-driven M&A Data Integration Playbook.
• Proven hands-on technical leadership in end-to-end data platform architecture and engineering.
• Capacity to modernize a data estate and ensure alignment with enterprise standards.
• Experience with Redshift-to-Snowflake migration, including architecture, validation, and cutover.
• Proficiency in building ingestion pipelines, warehouse models, transformation layers, orchestration, data contracts, and deployment workflows.
• Familiarity with 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.
• Skilled in defining dimensional, domain, and semantic data models.
• Experience with 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 collaborate 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.
• Capability to influence architecture and standards without an initial management mandate.
• Minimal travel required.
• Eligible for bonuses.
• Medical insurance provided.
• Dental insurance coverage.
• Vision insurance available.
• Life insurance included.
• Disability insurance offered.
• Various time-off plans.
• Retirement plans available.
• Tax-saving plans for health, dependent care, and commuting expenses.
• Paid Parental Leave offered.
• Employee Stock Purchase Plan available.
• Minimal travel expectations.
• Collaborative and supportive team culture.
• Entrepreneurial environment encouraging ownership and initiative.
• Equal opportunity and reasonable accommodation support provided.
Avery Dennison
Advancing Analytics
SHOP APOTHEKE EUROPE
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