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Senior Databricks Developer Jobs (NOW HIRING)

ECS

Sr. Databricks Solutions Architect

Huntsville, AL · On-site

Everforth ECS is seeking a Sr. Databricks Solutions Architect to join our team in Huntsville ... Collaborate with internal and Databricks teams, including Engineers, Architects, Project Managers ...

Mondo

Senior Databricks Data Engineer

Marina Del Rey, CA · On-site

$200K - $225K/yr

Senior Databricks Data Engineer Location-Type: Onsite, Santa Monica, CA (office relocation to ... Experience with CI/CD for Databricks assets using Azure DevOps or GitHub Actions, and familiarity ...

Databricks

Sr. Product Manager, Databricks Repos

Seattle, WA · Remote

$144K - $190K/yr

Founded by engineers - and customer obsessed - we leap at every opportunity to tackle technical ... Databricks Repos is the source control and workflow foundation that powers how data engineers, ML ...

Sabio infotech

Sr. Databricks Architect

Dallas, TX · On-site

$64.25 - $84.50/hr

Senior Databricks Architect Domain : Financial Services Location : Dallas, TX/Florham Park, NJ Key ... engineering teams · Optimize performance, cost, and reliability of data pipelines · Mentor and ...

ECS

Sr. Databricks Consultant

Fairfax, VA · On-site +1

$175K - $250K/yr

ECS is seeking a Sr. Databricks Consultant to work in our Arlington, VA office/remotely . Please ... Strong proficiency in Python and/or SQL for data engineering. * Experience with Apache Spark for ...

ADPMN Inc

Senior Databricks Data Engineer

$108K - $147K/yr

ADPMN Inc is seeking a Senior Databricks Data Engineer responsible for moving source data into the Databricks Lakehouse. The role involves monitoring data pipelines, collaborating with data ...

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How much do senior databricks developer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for senior databricks developer in the United States is $80,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $103,000.00 per year, depending on experience, location, and employer.
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Senior Databricks Developer jobs near you
Infographic showing various Senior Databricks Developer job openings in the United States as of September 2026, with employment types broken down into 87% Full Time, 3% Part Time, and 10% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution, with an average salary of $80,287 per year, or $38.6 per hour.

Sr. Databricks Solutions Architect

Huntsville, AL • On-site

ECS
See more jobs at ECSexternal

Full-time

Re-posted 7 days ago

Key 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).

  • Assist customers with productionalizing data pipelines, machine learning workflows, and AI-driven applications.

Job description

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.

  • 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.

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