Data Engineers - Databricks - Senior Manager

Responsibilities

• Leading data engineering workstreams for Databricks-based client solutions across data modernization initiatives
• Designing and building scalable data pipelines, integration patterns, and transformation logic to support analytics and reporting needs
• Developing cloud-based data architectures using Databricks, Azure Data Factory, Snowflake, and related platforms
• Applying data modeling, warehouse design, and performance tuning methods to improve data availability and query response times
• Coordinating technical delivery across teams and stakeholders to translate business requirements into data solutions
• Validating data quality, lineage, and transformation logic throughout the development lifecycle
• Guiding teams through complex implementation issues, tradeoffs, and dependencies across multiple workstreams
• Coaching team members on data engineering methods, delivery planning, and technical problem solving
• Presenting progress, risks, and solution options to client leaders in a clear and concise manner
• Supporting the development of reusable frameworks and delivery approaches that improve efficiency across engagements
• What You Must Have
• At least a Bachelor's degree
• At least 12 years of experience
• Oral and written proficiency in English required
• What Sets You Apart
• Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
• Demonstrating Databricks platform experience across data engineering projects
• Applying cloud data platform knowledge with Azure, AWS, or Snowflake
• Leading client-facing data modernization work through complex delivery
• Crafting data pipelines, modeling, and transformation solutions
• Coaching teams through ambiguity while solving technical issues