Sr. Databricks Solutions Architect

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

ECS is seeking a skilled Sr. Databricks Solutions Architect to join our Professional Services team. This position is contingent upon contract award. If you are passionate about helping customers solve complex big data challenges, leveraging Databricks for advanced analytics, machine learning, and AI-driven insights, and enjoy working in a consulting environment where technical expertise meets client engagement, this role is for you.

As a member of our team, you will work with customers on short- to medium-term engagements, providing technical guidance, architecture, and hands-on support to ensure they maximize value from their Databricks environments. You will collaborate with clients to design, implement, and optimize data pipelines, analytics workflows, and machine learning solutions, all while delivering exceptional customer service and consulting expertise.

Responsibilities

• Lead customer engagements to design, build, and optimize Databricks-based architectures for advanced analytics, data engineering, and machine learning 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, machine learning workflows, and AI-driven applications.
• Provide escalated technical support for customer operational issues and help troubleshoot complex platform or workflow challenges.
• Collaborate with internal and Databricks teams, including Engineers, Architects, Project Managers, and Customer Success teams, to ensure engagement goals are met.
• Document technical designs, architecture patterns, deployment procedures, and lessons learned.
• Stay current on Databricks platform features, distributed computing trends, and emerging big data technologies.
• Deliver solutions that improve performance, scalability, and operational efficiency while meeting customer business objectives.
• Support Professional Services and Managed Services initiatives as needed, ensuring billable deliverables meet customer expectations.

• US Top Secret Clearance required.
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent professional experience.
• 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 projects with Databricks in production environments.
• Proven experience with Databricks, including Spark, Delta Lake, MLflow, and cloud integration.
• Strong proficiency in Python and/or SQL for data engineering and analytics.
• Deep understanding of distributed computing concepts and Apache Spark runtime internals.
• Hands-on experience designing and deploying end-to-end big data and machine learning solutions.
• Familiarity with data modeling, performance tuning, and production-grade pipeline design.
• Experience working directly with customers in a consulting or professional services capacity.
• Ability to manage technical scope, timelines, and delivery while maintaining excellent customer communication.
• Willingness to travel up to 30% for customer engagements.