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Databricks Architect

• Posted 13 hours ago • Updated 41 minutes ago

Contract Independent

Contract W2

Fitment

Dice Job Match Score™

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Job Details

Skills

Devops
Cloud
data analytics
Apache Spark
Databricks
Data Engineering
Data platforms
Modern Data Warehouse solutions
Databricks implementation
ETL/ELT pipelines

Summary

Role: Databricks Architect

Location: SFO, CA/Remote

Duration: 12 Months

Core skills needed

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 Google Cloud Platform, 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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90719156
Position Id: 2026-12114/77296
Posted 13 hours ago

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