Databricks consultant -Resident Solutions Architect

Required Qualifications

• 10+ years of consulting experience with 7+ years in Data Engineering, Data Platforms, and Analytics.
• Databricks Data Engineering Professional Certification completed, along with the required Databricks training.
• Successfully delivered 6–8+ Databricks implementation projects with hands-on development experience.
• Strong expertise in Apache Spark and distributed computing, including Spark runtime internals.
• Working knowledge of two or more cloud platforms (AWS, Azure, or Google Cloud Platform), with deep expertise in at least one.
• Experience implementing CI/CD pipelines for production deployments.
• Working knowledge of MLOps practices and deployment workflows.
• Strong understanding of the Databricks Data Intelligence Platform, including its latest features and capabilities.
• Experience with performance tuning, optimization, and scalability of data workloads.
• Strong communication, customer engagement, and consulting skills.

Preferred Skills

• Experience with Delta Lake, Unity Catalog, Lakehouse architecture, and Lakeflow.
• Knowledge of SQL, Python, Scala, and Spark.
• Experience integrating enterprise data platforms and modern analytics architectures.
• Familiarity with DevOps tools such as Git, Azure DevOps, GitHub Actions, Jenkins, or similar.
• Experience supporting enterprise customers in production environments.

Mandatory Requirements

• Databricks Data Engineering Professional Certification.
• Minimum 6–8 completed Databricks implementation projects.
• Strong hands-on development experience on the Databricks platform.
• Expertise in Spark performance tuning and distributed computing.
• Cloud experience across AWS, Azure, or Google Cloud Platform.
• CI/CD and MLOps exposure.
• Current knowledge of Databricks products and platform capabilities.