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Data Engineer III
Job
Robert Half
San Ramon, CA (In Person)
Full-Time
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Job Description
Robert Half, one of FORTUNE's World's Most Admired Companies and a Fortune 100 Best Companies to Work For is hiring for a Data Engineer III to join the ATI Data Science Innovation department.
Solution Design & Technical LeadershipLead architecture and design of complex data pipelines on Databricks lakehouse architecture (Unity Catalog, Delta Lake, Structured Streaming)Define technical approach for data engineering initiatives, mentor less-senior engineers, and set standards for code quality through leadership and code reviewsDesign and build data foundations that enable AI/ML capabilities — feature stores, embedding pipelines, vector search indexes, and model training datasetsAlign data engineering solutions with business strategy, including support for Agentic AI workloadsData Infrastructure & PlatformOwn health, scalability, and modernization of data infrastructure with Databricks as the strategic platform — including workload migration, compute optimization, and Unity Catalog adoptionOptimize pipeline performance (Delta Lake table layouts, clustering, Z-ordering) and establish monitoring/alerting best practices with clear SLAsBuild data infrastructure supporting Agentic AI systems — real-time data access layers, context retrieval pipelines, and agent-accessible data servicesCollaborate cross-functionally with DevOps, Platform Engineering, and MLOps roles to integrate data solutions into the broader technology environment and shared AI infratstructure - Mlflow registries, feature stores, and agent orchestration layersProvide consultation to Senior Leadership on complex projects and drive continuous improvement initiativesData Quality, Governance & CollaborationChampion data governance at all layers for data, models, and AI assetsImplement data quality strategies (master data management, validation rules, Delta Live Tables expectations) to ensure trust in enterprise dataServe as liaison across data engineering, AI engineering, and business teams; promote data literacy and stewardship
Solution Design & Technical LeadershipLead architecture and design of complex data pipelines on Databricks lakehouse architecture (Unity Catalog, Delta Lake, Structured Streaming)Define technical approach for data engineering initiatives, mentor less-senior engineers, and set standards for code quality through leadership and code reviewsDesign and build data foundations that enable AI/ML capabilities — feature stores, embedding pipelines, vector search indexes, and model training datasetsAlign data engineering solutions with business strategy, including support for Agentic AI workloadsData Infrastructure & PlatformOwn health, scalability, and modernization of data infrastructure with Databricks as the strategic platform — including workload migration, compute optimization, and Unity Catalog adoptionOptimize pipeline performance (Delta Lake table layouts, clustering, Z-ordering) and establish monitoring/alerting best practices with clear SLAsBuild data infrastructure supporting Agentic AI systems — real-time data access layers, context retrieval pipelines, and agent-accessible data servicesCollaborate cross-functionally with DevOps, Platform Engineering, and MLOps roles to integrate data solutions into the broader technology environment and shared AI infratstructure - Mlflow registries, feature stores, and agent orchestration layersProvide consultation to Senior Leadership on complex projects and drive continuous improvement initiativesData Quality, Governance & CollaborationChampion data governance at all layers for data, models, and AI assetsImplement data quality strategies (master data management, validation rules, Delta Live Tables expectations) to ensure trust in enterprise dataServe as liaison across data engineering, AI engineering, and business teams; promote data literacy and stewardship