Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.
Job Description
Senior Manager - Data Engineering Fusion Solutions Inc. Boston, MA Job Details Contract 14 hours ago Qualifications Data model design Commercial use (data warehousing systems) Cloud analytics services Data Integration (Data management) Data modeling projects Spark Integration Architecture Design (Architecture design skills) Schema design Snowflake SQL Data Architecture Design (Architecture design skills) Cloud database architecture Azure Data Factory Enterprise Integration Data performance optimization Python Senior leadership Design patterns Full Job Description Senior Manager - Data Engineering Boston | Hybrid (4 Days Onsite) Long-Term Contract to Hire Opportunity A leading Investment Management firm is seeking a highly experienced Senior Manager - Data Engineering to lead the design and development of modern enterprise data platforms. This role is ideal for candidates with strong expertise in Microsoft Fabric, Azure Data Engineering, PySpark, and modern cloud-based data architectures within financial services or asset management environments. Key Responsibilities Design, build, and optimize scalable modern data platforms Develop robust ETL/ELT pipelines for enterprise-grade data processing Implement cloud-native data solutions using Azure technologies Lead data ingestion strategies including API-based integrations Build and manage Lakehouse and Data Warehouse architectures Optimize large-scale data transformations using PySpark Work with structured and semi-structured data formats including CSV, JSON, and Parquet Implement Medallion Architecture and modern data modeling practices Collaborate with cross-functional teams to support analytics, compliance, and reporting initiatives Required Skills & Experience Strong hands-on experience with Microsoft Fabric (preferred) Experience with Databricks, Snowflake, or similar modern data platforms Expertise in Python / PySpark Strong knowledge of Azure Data Factory Experience with Azure-based data ingestion and cloud engineering Advanced SQL and data modeling skills Knowledge of data architecture concepts and design patterns Experience with warehouse and Lakehouse solutions API-based data integration experience Strong understanding of modern storage formats and optimization techniques