Solutions Architect - Databricks 2 days ago - Be among the first 25 applicants Get AI-powered advice on this job and access more exclusive features. At Lumenalta, we partner with enterprise clients to build cutting-edge digital products that serve hundreds of millions of customers, transactions, and data points. As a Databricks Solutions Architect, you will be key in designing and implementing scalable, high-performance solutions to address complex data challenges across various industries. You will have the opportunity to lead end-to-end architecture and help our clients unlock their data's full potential using Databricks and other modern cloud technologies. We seek someone who thrives in a fast-paced, collaborative environment, with experience in industries such as FinTech, Transportation, Insurance, Media, or other multifactor environments. Key Responsibilities: Solutions Design: Architect end-to-end scalable data solutions using Databricks, Azure, AWS, and other cloud services to meet client needs. Data Strategy & Architecture: Develop robust data architectures, implement ETL pipelines, and establish data governance frameworks to ensure data accuracy and consistency. Technical Leadership: Lead the design and implementation of data platforms, define best practices, and mentor team members to enhance technical skills. Advanced Analytics & Machine Learning: Create pipelines and workflows to support analytics and ML initiatives, utilizing Databricks and cloud services. Collaboration & Client Engagement: Act as a trusted advisor, working closely with stakeholders to understand business needs, present solutions, and implement strategies for high-impact results. Performance Optimization: Identify bottlenecks and recommend solutions to optimize workflows and architecture for cost and performance. Innovation & Experimentation: Promote using cutting-edge data technologies to drive innovation within client projects. Qualifications & Experience: 7+ years in a senior data engineering or solutions architect role, with a focus on Databricks, Azure, or AWS. Proven success in designing and implementing large-scale data architectures supporting extensive data pipelines and analytics. Strong skills in Python, PySpark, and SQL for data processing. Extensive experience creating ETL pipelines, handling large datasets, and developing solutions aligned with business goals. Hands-on experience with data warehousing, data modeling, and building data marts. Industry experience in financial services, logistics, or similar complex domains is highly desirable. Fluency in English, with the ability to communicate technical concepts to non-technical stakeholders. Traits: Analytical, solution-oriented, proactive, team player, and eager to learn. What's it like to work at Lumenalta? Seniority level Mid-Senior level Employment type Full-time Job function Consulting, Engineering, Strategy/Planning Industries IT Services and Consulting, Software Development, IT System Custom Software Development #J-18808-Ljbffr