Data Engineering Manager

We are seeking an experienced Data Engineering Manager to lead the design, architecture, and delivery of modern cloud-based data platforms. In this role, you'll provide technical leadership for a distributed engineering team, establish engineering best practices, and partner with business stakeholders to deliver scalable, high-performance data solutions built on Databricks and AWS. Responsibilities • Lead the architecture, development, and delivery of enterprise data platforms using Databricks and AWS. • Establish coding standards, data engineering best practices, and CI/CD processes. • Design and optimize scalable data pipelines, data models, and cloud data lake architectures. • Drive technical design reviews, code quality, and platform performance optimization. • Mentor and lead onshore and offshore engineering teams. • Collaborate with business and client stakeholders to translate requirements into technical solutions. • Champion modern data engineering practices, automation, and AI-assisted development to improve engineering productivity. Qualifications • 8+ years of experience in data engineering, with prior technical leadership or management experience. • Strong expertise in Databricks, PySpark, Spark, Python, SQL, and AWS. • Experience building modern data warehouses and cloud data platforms. • Hands-on experience with Airflow, Git, CI/CD, and data modeling best practices. • Strong communication skills with experience leading distributed teams and engaging directly with stakeholders. Preferred Qualifications • Experience with dbt, Kafka, and streaming data platforms. • Background in financial services or asset management. • Knowledge of Delta Lake, Unity Catalog, Medallion Architecture, and Databricks performance tuning. • Exposure to DevOps practices and AI/ML-enabled data engineering workflows.