Databricks Solutions Architect

Databricks Solutions Architect Job#: 3035708

Job Description:

Candidates must be U.S. citizens able to obtain and/or maintain a Department of Defense security clearance as a condition and continuation of employment.

Databricks Solutions Architect - QA

Location:

Online

Role Overview We are seeking a skilled DoD SECRET Cleared Databricks Solutions Architect to join a professional services team. This position involves working 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.

Key Responsibilities
* Advise on data governance, security, compliance, and best practices for leveraging capabilities like Delta Lake, Unity Catalog, and MLflow.

Lead customer engagements to design, build, and optimize Databricks-based architectures for advanced analytics, data engineering, and machine learning workloads.

Develop and optimize scalable ETL/ELT pipelines and integrate with cloud platforms such as AWS, Azure, or GCP.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 client teams, including Engineers, Architects, and Project Managers, to ensure engagement goals are met.

Document technical designs, architecture patterns, deployment procedures, and lessons learned.

Deliver solutions that improve performance, scalability, and operational efficiency while meeting customer business objectives.

Required Qualifications

Education:

A Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent professional experience is required.

Clearance:
Must have active DoD Secret Clearance at minimum

Experience:

Candidates must have 10 years of consulting experience, preferably in data platform or analytics-focused engagements, and 7 years of experience in Data Engineering. Completion of 6-8 hands-on projects with Databricks in production environments is required.

Technical

Skills:

Proven experience with Databricks, including Spark, Delta Lake, MLflow, and cloud integration (AWS, Azure, GCP).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.

Willingness to travel up to 30% for customer engagements.

Preferred Qualifications A Master’s or PhD in Computer Science, Data Science, or a related field.

Databricks Data Engineering Professional Certification.

Experience implementing MLOps pipelines and product ionizing machine learning workflows.

Knowledge of CI/CD, version control (Git), and infrastructure-as-code tools (Terraform, ARM, Cloud Formation).Exposure to streaming data technologies such as Kafka, Kinesis, or Event Hubs.

Familiarity with data visualization tools like Tableau, Power BI, or Looker.

Experience with regulatory compliance frameworks.

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and…