The Databricks Data Architect is a senior technical leader responsible for building and optimizing a robust data platform in a financial services environment. The role involves leading a team of 10+ data engineers, designing scalable data solutions, and ensuring best practices in data engineering, performance tuning, and governance. Requirements Bachelor’s degree in Computer Science, Information Systems, or a related field 7+ years of experience in data engineering, data architecture, or related roles Significant hands-on experience with Databricks (preferably Azure Databricks) and the Apache Spark ecosystem Strong experience working with cloud data platforms (Azure preferred, or AWS/GCP) Advanced SQL skills with the ability to write and optimize complex queries Proven ability to optimize ETL jobs and Spark processes for performance and cost efficiency Benefits Competitive base salary and variable pay opportunities Mental health support benefits Flexible benefit spending account Firm-wide closures known as " Deloitte Days" Dedicated days of for learning (known as Development and Innovation Days) Flexible work arrangements and a hybrid work structure Originally posted on Himalayas