Senior Associate

 Designing and building Databricks-based data pipelines and transformation workflows that support client analytics and reporting needs
- Developing data integration, data modeling, and data validation routines across cloud data platforms
- Applying agentic AI concepts to improve automation, data processing, and workflow orchestration within engineering solutions
- Translating business and technical requirements into scalable data solutions that align with project objectives
- Troubleshooting data quality, performance, and query optimization issues across data lake and data warehouse environments
- Using Apache Airflow, Azure Data Factory, and related orchestration tools to manage scheduled data movement and pipeline execution
- Supporting data architecture decisions by evaluating platform capabilities, integration patterns, and security considerations
- Interpreting data and technical findings to inform recommendations for clients and internal teams
- Mentoring junior team members on data engineering methods, delivery practices, and technical problem solving
- Building client relationships by anticipating needs, responding to changing priorities, and contributing to delivery across workstreams