Solutions Engineer

• Engage with business stakeholders to understand goals, data sources, and analytic use cases; translate into a holistic Databricks-based solution
• Design scalable data lakehouse architectures on Databricks (Delta Lake, Databricks SQL, Unity Catalog, Delta Live Tables) that support data ingestion, cleansing, modeling, governance, security, and analytics
• Lead technical architecture decisions and produce high-quality artifacts (reference architectures, solution blueprints, data models, data governance models, and integration plans)
• Architect data pipelines end-to-end (ingestion, transformation, storage, cataloging) with best practices for reliability, observability, and cost optimization
• Enable data science and ML workflows on Databricks (MLflow, feature store, notebooks, Automated ML) and design end-to-end MLOps strategies
• Ensure data governance, security, and compliance (IAM, encryption, Unity Catalog, data masking, lineage, access controls)
• Collaborate closely with data engineers, data scientists, software engineers, and DevOps to deliver production-ready solutions; implement CI/CD for data and ML pipelines
• Lead customer-facing activities: workshops, solution demos, proofs of concept, and responses to RFPs/RFIs; provide strategic guidance on platform adoption and ROI
• Mentor and coach junior architects and engineers; develop training materials and run knowledge-sharing sessions
• Monitor performance, optimize SQL and Spark workloads, manage cluster configurations, and drive cost/performance improvements

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