Senior Databricks Architect: Cloud, AI & Data Analytics

ecsfederal; Alabama; On-site; USD 140,000 - 190,000; Full time

Job summary

Everforth ECS seeks a Sr. Databricks Solutions Architect in Huntsville, Alabama to lead complex data architecture projects for clients. You will design, implement, and optimize Databricks-based data pipelines, ML workflows, and analytics platforms in a consulting setting.

The role requires deep expertise in Spark, Delta Lake, MLflow, and cloud integration, plus 10+ years of consulting experience and 7+ years in data engineering. Occasional travel up to 30% is expected.

Qualifications

• 7+ years of experience in Data Engineering.
• 10+ years of consulting experience, preferably in data platform or analytics-focused engagements.
• Completion of 6–8 hands-on Databricks projects in production environments.
• Proven Databricks proficiency including Spark, Delta Lake, MLflow, and cloud integration.

Responsibilities

• Lead customer engagements to design, build, and optimize Databricks-based architectures for analytics, data engineering, and ML workloads.
• Develop scalable ETL/ELT pipelines and integrate with cloud platforms (AWS, Azure, or GCP).
• Guide customers on data governance, security, and compliance best practices within Databricks environments.
• Consult on architecture, reference implementations, and best practices for leveraging Delta Lake, Unity Catalog, MLflow, and related Databricks capabilities.
• Assist customers with productionalizing data pipelines, ML workflows, and AI-driven applications.
• Provide escalated technical support for customer operational issues and help troubleshoot complex platform or workflow challenges.

Skills

Data engineering

Python

SQL

Distributed computing

Apache Spark

Education

Bachelor's degree or higher

Tools

Databricks

Spark

Delta Lake

MLflow

Cloud integration

Job description

Everforth ECS seeks a Sr. Databricks Solutions Architect in Huntsville, Alabama to lead complex data architecture projects for clients. You will design, implement, and optimize Databricks-based data pipelines, ML workflows, and analytics platforms in a consulting setting.

The role requires deep expertise in Spark, Delta Lake, MLflow, and cloud integration, plus 10+ years of consulting experience and 7+ years in data engineering. Occasional travel up to 30% is expected.