Data Architect / Solution Architect

Position: Data Architect / Solution Architect Location: Remote - United States Employment Type: Full-Time Skills Required: • 5–10+ years of experience in Data Engineering, Analytics, or Data Solutions Consulting • 3+ years of hands-on experience with Databricks, including workload optimization, debugging, and governance • Strong expertise in Apache Spark, Spark Internals, Py Spark, and Databricks SQL (DBSQL) • Experience architecting and optimizing large-scale data processing workloads • Strong knowledge of Delta Lake, Lakehouse Architecture, and Structured Streaming • Experience with cloud platforms such as AWS, Azure, or GCP • Ability to lead customer engagements from discovery through delivery with minimal oversight • Experience conducting technical workshops, solution design sessions, and Proof of Concepts (PoCs) • Strong customer-facing communication and stakeholder management skills • Experience mentoring engineers and promoting best practices in data engineering Preferred Qualifications: • Databricks Certified Data Engineer Professional certification • Experience with Delta Live Tables (DLT) and Unity Catalog (UC) • Background in enterprise data modernization and migration initiatives • Experience with AI-assisted analytics, MLOps, or modern AI-driven data platforms • Consulting, Professional Services, or Solutions Architecture experience preferred Key Responsibilities: • Lead customer engagements with full ownership and accountability • Architect, implement, and optimize Spark and Databricks solutions for performance and cost efficiency • Troubleshoot and tune distributed data workloads and SQL performance issues • Design and deliver workshops and Proof of Concepts (PoCs) • Act as a trusted technical advisor to customers and business stakeholders • Collaborate with product and engineering teams to improve customer outcomes • Mentor team members and drive adoption of data engineering best practices