Databricks Architect / Resident Solution Architect

Trebecon LLC

United States

6 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

10 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Amazon Web Services Microsoft Azure Cloud Engineering Continuous Integration Information Engineering Extract Transform Load (ETL) Data Warehousing DevOps Memory Management Github Performance Tuning Data Streaming

+11 more

Google Cloud Cloud Platform System Apache Spark Software Troubleshooting Data Lakes Gitlab-ci Data Analytics Data Management Machine Learning Operations Jenkins Databricks

Job description

Seeking an experienced Databricks Architect / Resident Solution Architect with 12-15+ years of experience in Data Engineering, Data Platforms, Data Analytics, and Modern Data Warehouse solutions. The ideal candidate will have extensive hands-on Databricks implementation experience, strong cloud architecture expertise, and a proven background working with public-sector clients.

Requirements

12-15+ years of experience in Data Engineering, Data Platforms, Data Analytics, and Modern Data Warehouse solutions.
10+ years of consulting and client-facing delivery experience.
Successfully delivered 6-8+ end-to-end Databricks implementations as a Developer, Technical Lead, or Solution Architect.
Databricks Data Engineering Professional certification or equivalent advanced Databricks certification preferred/required.
Experience with the Databricks Solutions Architect Champion program is a plus.
Strong experience with AWS, Azure, and/or Google Cloud Platform, with deep expertise in at least one cloud platform.
Advanced Apache Spark knowledge, including performance tuning, partitioning, execution plans, memory management, and Spark internals.
Hands-on experience with Databricks, Delta Lake, Structured Streaming, ETL/ELT, and modern data engineering frameworks.
Strong experience with CI/CD and DevOps using Azure DevOps, GitHub Actions, GitLab CI/CD, Jenkins, or similar tools.
Working knowledge of MLOps, MLflow, model deployment, lifecycle management, and monitoring.
Strong knowledge of the Databricks Lakehouse Platform, including Delta Lake, Unity Catalog, Workflows, MLflow, and Delta Live Tables (DLT).
Experience tuning large-scale distributed workloads for performance, scalability, and cost efficiency.
Strong troubleshooting and solution-architecture skills.
Public-sector experience is required/preferred.