12-15+ years of experience in Data Engineering, Data Platforms, Data Analytics, and Modern Data Warehouse solutions, with 10+ years of overall consulting and client-facing delivery experience.
Demonstrated success delivering 6-8+ end-to-end Databricks implementations, serving as a hands-on developer, technical lead, or solution architect.
Databricks Data Engineering Professional certification (or equivalent advanced Databricks certification) with completion of all recommended learning paths and coursework.
Databricks has a Databricks Solutions Architect Champion program- this will be good to have
Strong expertise in designing and implementing cloud-native data platforms across AWS, Azure, and/or GCP, with deep hands-on proficiency in at least one cloud ecosystem.
Advanced knowledge of Apache Spark, including performance optimization, partitioning strategies, execution plans, memory management, and Spark runtime internals.
Extensive hands-on experience developing scalable ETL/ELT pipelines using Databricks, Delta Lake, Structured Streaming, and modern data engineering frameworks.
Experience implementing DevOps and CI/CD practices for production-grade data solutions using tools such as Azure DevOps, GitHub Actions, GitLab CI/CD, or Jenkins.
Working knowledge of MLOps principles, machine learning lifecycle management, model deployment, and monitoring within enterprise environments.
Current and broad understanding of the Databricks Lakehouse Platform, including Delta Lake, Unity Catalog, Workflows, MLflow, Delta Live Tables, and other platform capabilities.
Strong experience tuning large-scale distributed workloads and designing highly performant, scalable, and cost-efficient data processing solutions.
Ability to troubleshoot complex data platform challenges and recommend architecture patterns aligned with business and technical requirements
Numbers & Facts
Location
CA, CA
Skills
Amazon Web Services (AWS)unmatched
Apache Sparkunmatched
Banking Servicesunmatched
Cisco Unityunmatched
Cloud Computingunmatched
Consultingunmatched
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
Customer Relationsunmatched
Data Analysisunmatched
Data Processingunmatched
Data Warehousingunmatched
Database Extract Transform and Load (ETL)unmatched
DevOpsunmatched
Ecosystemsunmatched
Environmental Monitoringunmatched
GCP (Good Clinical Practices)unmatched
GitHubunmatched
Identify Issuesunmatched
Jenkinsunmatched
Machine Learningunmatched
Management Strategyunmatched
Memory Managementunmatched
Microsoft Windows Azureunmatched
Performance Tuning/Optimizationunmatched
Scalable System Developmentunmatched
Strategic Planningunmatched
Technical Leadershipunmatched
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