Snowflake Developer

• Manage and maintain GIP Snowflake accounts, including performance monitoring, cost optimization, resolving issues, and backups
• Partner with BlackRock’s Snowflake infrastructure team to implement guidelines, coordinate upgrades, and integrate enterprise-wide features
• Ensure compliance with data governance, security, and audit requirements
• Design and develop automated data pipelines using Fivetran and other ETL tools, integrating data from GIP systems, BlackRock warehouses, APIs, and external sources
• Implement robust data validation, cleaning, and transformation processes to ensure data quality, accuracy, and reliability
• Monitor and tune data pipelines for performance, scalability, and cost efficiency
• Design and implement logical and physical data models to support analytical and reporting needs for GIP and BlackRock partners
• Create ER diagrams, data flow diagrams, and other visualizations to represent data models and workflows
• Develop and enforce data modeling guidelines and standards
• Optimize data models for query performance, ensuring efficient data retrieval across large datasets
• Partner with business and GIP technology teams to translate business requirements into technical solutions
• Train and support end users on Snowflake capabilities, data access, and reporting tools
• Collaborate with vendors and cross-functional teams to troubleshoot issues, deliver enhancements, and implement new features

• Bachelor’s degree in Computer Science, Data Science, Software Engineering, Information Systems, or related quantitative field (Master’s degree or equivalent experience preferred)
• Minimum of 5–7 years of experience in data engineering, including data integration, modeling, optimization, and data quality
• Demonstrable experience designing, developing, and maintaining data warehouses using Snowflake in a production environment
• Experience working in financial services or private markets (preferred)
• Strong SQL skills for querying, data manipulation, and performance optimization
• Proficiency with modern ETL/ELT tools (e.g., Fivetran, dbt, Informatica, Talend)
• Expertise in data modeling concepts (relational, dimensional, and star schema)
• Proficiency in Python, Java, or Scala for data engineering tasks
• Knowledge of cloud services (AWS, Azure, GCP) and data integration within cloud ecosystems
• Strong problem-solving and debugging skills
• ability to identify and resolve performance bottlenecks
• Excellent communication skills, with the ability to collaborate effectively across technical and business teams
• Familiarity with data governance, security, and compliance standards

Experience working in financial services or private markets

• Strong retirement plan
• Tuition reimbursement
• Comprehensive healthcare
• Support for working parents
• Flexible Time Off (FTO)