Senior Manager Data Engineer

Could you be a good fit? We are looking for a highly skilled Senior Manager Data Engineer to join the team of our exceptional client, an investment management firm. This role focuses on designing and building modern data platforms, enabling scalable data processing, and supporting enterprise analytics initiatives. This position requires strong hands-on experience with modern data engineering tools and cloud platforms, along with expertise in data modeling, ETL/ELT pipelines, and distributed data processing. The ideal candidate brings both technical leadership and deep engineering capabilities within a financial services environment. Benefits • Health, Dental, Vision & 401k What will your day look like? As a Senior Manager Data Engineer, you will: • Design, develop, and maintain modern data platforms leveraging cloud-based tools and architectures • Build and optimize ETL/ELT pipelines for large-scale data processing • Engineer data solutions using Python and PySpark for transformation and analytics workloads • Develop and manage data ingestion pipelines using Azure Data Factory and API-based integrations • Work with various data storage formats including CSV, JSON, and Parquet • Design and implement data models and scalable architectures, including medallion (layered) architecture • Build solutions across data warehouses and lakehouse environments • Collaborate with cross-functional teams to support analytics, reporting, and compliance use cases • Ensure data quality, integrity, and performance optimization across data platforms • Support cloud data platform engineering and ongoing operational needs You will be a good fit for this role if you have: • Strong experience (2–5+ recent years) building modern data platforms • Hands-on expertise with Microsoft Fabric (strongly preferred) or similar platforms such as Databricks or Snowflake • Proficiency in Python and PySpark for large-scale data processing • Experience with SQL, data modeling, and data architecture best practices • Experience building and maintaining ETL/ELT pipelines • Hands-on experience with Azure, including Azure Data Factory and cloud-based data services • Experience implementing API-based data ingestion • Solid understanding of data lake, lakehouse, and warehouse architectures • Familiarity with modern data formats (CSV, JSON, Parquet) • Experience designing scalable data models and transformation pipelines Nice-to-Haves • Experience working in financial services or asset management • Knowledge of investment compliance data and workflows • Experience with medallion architecture patterns • Exposure to cloud data platform optimization and performance tuning About Market Street Talent Market Street Talent is a specialized staffing and consulting firm focused on IT and technology positions. Our deep industry knowledge allows us to match exceptional candidates with organizations where they can thrive and make an immediate impact. Our Vision: To promote and foster the growth of information technology (IT) in our world—one candidate, one client, one community at a time. Our Goal: To guide clients and candidates through the placement process and build long-term, successful relationships. Our Culture: At MST, we value excellence, respect, and empathy in everything we do. Sound like you? Ready for your next data engineering leadership opportunity? Click “Apply Now”!