Senior Data Architect – Databricks Lakehouse

Candidates should have a Bachelor's degree in Computer Science, Engineering, Math, Statistics, or a related field, or equivalent work experience. Deep experience with Databricks, Delta Lake, and AWS services like S3, Glue, and Lambda is required, along with 5+ years of experience in data engineering on cloud-based platforms, preferably AWS. Strong hands-on skills in Python, PySpark, and SQL, along with experience in data orchestration and infrastructure-as-code, are essential. A platform mindset focused on reusable patterns and long-term scalability, the ability to turn complex data needs into simple, maintainable solutions, and a collaborative approach are also required. Databricks certifications, experience integrating Databricks with enterprise data tools, and exposure to real-time data pipelines or streaming solutions are preferred.