Senior Databricks Architect for Data & ML Solutions

ECS

Huntsville (AL)

Sur place

USD 150 000 - 190 000

Plein temps

14 jours+

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Résumé du poste

Everforth ECS is seeking a Sr. Databricks Solutions Architect to join our Professional Services team in Huntsville, Alabama.

This role focuses on solving complex big data challenges, leveraging Databricks for advanced analytics, ML, and AI-driven insights in a consulting environment. The candidate will lead engagements, design end-to-end pipelines, and collaborate with clients to maximize value from Databricks environments.

Qualifications

  • U.S. Top Secret clearance is required.
  • 7+ years in Data Engineering.
  • 10+ years of consulting experience in data platform or analytics.
  • 6–8 hands-on Databricks projects in production.
  • Proven Databricks experience with Spark, Delta Lake, MLflow and cloud integration.
  • Strong Python and/or SQL skills for data engineering and analytics.

Responsabilités

  • Lead customer engagements to design, build, and optimize Databricks architectures.
  • Develop scalable ETL/ELT pipelines and integrate with cloud platforms (AWS/Azure/GCP).
  • Guide on data governance, security, and compliance within Databricks.
  • Advise on architecture, reference implementations, and Delta Lake/Unity Catalog/MLflow best practices.
  • Assist with productionalizing data pipelines and ML workflows.
  • Provide escalated technical support and collaborate with internal teams.

Connaissances

Databricks
Spark
Delta Lake
MLflow
Python
SQL
Cloud integration
Data engineering
Consulting
Distributed computing

Formation

Bachelor’s degree in CS/IS/Engineering

Description du poste

Everforth ECS is seeking a Sr. Databricks Solutions Architect to join our Professional Services team in Huntsville, Alabama.

This role focuses on solving complex big data challenges, leveraging Databricks for advanced analytics, ML, and AI-driven insights in a consulting environment. The candidate will lead engagements, design end-to-end pipelines, and collaborate with clients to maximize value from Databricks environments.

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