Sr. Databricks Solutions Architect

Required Skills

• 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.

Desired Skills

• Master’s or PhD in Computer Science, Data Science, or related field.
• Experience implementing MLOps pipelines and productionizing machine learning workflows.
• Knowledge of CI/CD, version control (Git), and infrastructure-as-code tools (Terraform, ARM, CloudFormation).
• Exposure to streaming data technologies (Kafka, Kinesis, Event Hubs).
• Familiarity with data visualization tools (Tableau, Power BI, Looker).
• Experience with regulatory compliance frameworks (HIPAA, FedRAMP, SOC2).
• Prior consulting experience with technical project delivery in enterprise environments.
• Strong documentation, whiteboarding, and customer presentation skills.

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