Databricks Solutions Architect

As a Data Solutions Architect (Databricks) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. Key Responsibilities Architecture & Technology Strategy Perform technology and tools assessments to evaluate market trends and determine the best fit within the enterprise landscape Evaluate architecture patterns and oversee implementation from concept to production Conduct research on emerging tools and technologies to recommend cost-effective and innovative solutions Define and design end-to-end data and AI architectures Data & AI Solution Delivery Design, develop, and implement data solutions using the Databricks platform Build scalable data pipelines, analytics solutions, and machine learning models Leverage Databricks Mosaic AI capabilities for advanced analytics and GenAI use cases Productionalize customer use cases and deploy enterprise-grade solutions Ensure projects are delivered on time, within scope, and with high customer satisfaction Maintain a strong focus on quality, scalability, and performance Required Qualifications 10+ years of hands-on experience in providing solutioning architecture Big Data technologies Databricks ecosystem Machine Learning and Generative AI Strong experience with distributed data processing (e.g., Apache Spark) Proficiency in Python, SQL, and/or Scala Experience designing and implementing enterprise data architectures Proven ability to work in client-facing roles and deliver consulting engagements