Senior Databricks Architect

Senior Databricks Architect Domain: Financial Services We are seeking an experienced Senior Databricks Architect to design and deliver scalable, high-performance data platforms for our Financial Services clients. The ideal candidate will have deep expertise in Databricks, cloud data architectures, and modern data engineering practices, with a strong focus on building governed, secure, and efficient data ecosystems. Key Responsibilities Architect and implement end-to-end data solutions using Databricks Lakehouse Platform Design and develop scalable data pipelines using PySpark, Spark, and SQL Lead cloud data platform implementations on AWS/Azure/GCP Drive modernization of legacy data systems to cloud-native architectures Implement Medallion Architecture (Bronze, Silver, Gold layers) Ensure data governance, security, and compliance (especially for Financial Services) Collaborate with business stakeholders, data scientists, and engineering teams Optimize performance, cost, and reliability of data pipelines Mentor and guide data engineering teams and provide architectural leadership. Required Skills & Qualifications 12+ years of experience in Data Engineering / Data Architecture Strong expertise in Databricks, PySpark, and Spark ecosystem Hands‑on experience with cloud platforms (Azure, AWS, or GCP) Experience with data orchestration tools (Airflow, ADF, etc.) Solid understanding of data modeling, ETL/ELT, and distributed systems Experience with Delta Lake and Unity Catalog is a plus Strong knowledge of Financial Services domain (Banking, Insurance, Capital Markets) Excellent problem-solving and stakeholder management skills. Preferred Qualifications Databricks certifications Experience with real-time data processing (Kafka, streaming) Exposure to AI/ML pipelines and MLOps Knowledge of regulatory and compliance frameworks in Financial Services #J-18808-Ljbffr Incedo