Sr. Databricks Solutions Architect

ECS is seeking a Sr. Databricks Solutions Architect to work remotely.  Please Note: This position is contingent upon contract award.

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.

Salary Range: $160,000 - $250,000

General Description of Benefits [https://ecstech.com/careers/benefits]

Qualifications

• US Secret Clearance required.
• 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.

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or

equivalent professional experience.

• Willingness to travel up to 30% for customer engagements.