Sr. Databricks Solutions Architect

Posted One Month Ago
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Redstone Arsenal, AL, USA
In-Office
Senior level
Artificial Intelligence • Cloud • Information Technology • Security • Software
The Role
Lead customer engagements to design, build, and optimize Databricks architectures for data engineering, analytics, and machine learning. Develop scalable ETL/ELT pipelines, integrate with cloud platforms, advise on governance/security, productionalize ML workflows, troubleshoot operational issues, and deliver consulting and managed services with documentation and best practices.
Summary Generated by Built In
Job Summary & Responsibilities

Everforth ECS is seeking a Sr. Databricks Solutions Architect to join our team in Huntsville, Alabama.  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.
Preferred Qualifications
  • 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.

Skills Required

  • US Top Secret Clearance
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience
  • 7+ years of experience in Data Engineering
  • 10+ years of consulting experience in data platform or analytics engagements
  • 6-8 hands-on Databricks production projects
  • Proven experience with Databricks, Spark, Delta Lake, MLflow, and cloud integration
  • 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 with strong customer communication
  • Willingness to travel up to 30% for customer engagements

ECS Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ECS and has not been reviewed or approved by ECS.

  • Healthcare Strength ECS advertises multiple national-network medical plan options with HSA eligibility alongside dental and vision coverage. Coverage generally begins quickly and is paired with company-paid short- and long-term disability, adding stability to the health package.
  • Retirement Support A 401(k) with Safe Harbor and immediate vesting on employer contributions is emphasized, with an employer match available. Access to an employee stock purchase plan via the parent company provides an additional savings avenue.
  • Parental & Family Support Paid parental leave up to 30 days, adoption assistance, and other family-oriented leaves are highlighted. Feedback suggests these offerings add meaningful value beyond base pay for many roles.

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The Company
HQ: Elkhorn, NE
2,129 Employees
Year Founded: 1993

What We Do

ECS, a segment of ASGN (NYSE: ASGN), delivers advanced solutions and services in cloud, cybersecurity, artificial intelligence (AI), machine learning (ML), application and IT modernization, and science and engineering. The company solves critical, complex challenges for customers across the U.S. public sector, defense, intelligence and commercial industries. ECS maintains partnerships with leading cloud, cybersecurity, and AI/ML providers and holds specialized certifications in their technologies. Headquartered in Fairfax, Virginia, ECS has more than 3,400 employees throughout the U.S. and has been recognized as a Top Workplace by The Washington Post for the last five years.

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