Associate, Snowflake Data Engineer – BTO

BlackRock•Princeton, TX

1d•Hybrid

About The Position

The Snowflake Developer will be responsible for designing, developing, and maintaining Snowflake environments that support data storage, processing and analytics for BlackRock’s corporate technology data platforms. This role plays a critical part in building and managing scalable data architectures, robust data models and automated data pipelines that enable efficient and reliable integration, transformation and delivery of data. The developer will work closely with cross-functional teams to translate business initiatives into technical solutions, ensuring data quality, integrity and performance across BlackRock systems.

Requirements

Bachelor’s degree in computer science, data science, software engineering, information systems or related quantitative field (master’s degree preferred)
Minimum of 3-5 years’ experience in data engineering, including data integration, modeling, optimization and data quality
Proven experience designing, developing and maintaining data warehouses using Snowflake in a production environment
Strong SQL skills for querying, data manipulation and performance optimization
Proficiency with modern ETL/ELT tools (e.g., Fivetran, dbt, ADF)
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, including the ability to collaborate effectively across technical and business teams
Familiarity with data governance, security and compliance standards

Nice To Haves

Experience working in financial services or private markets (preferred)

Responsibilities

Manage and maintain Snowflake databases, including performance monitoring, cost optimization, troubleshooting and backups
Partner with BlackRock’s Snowflake infrastructure team to implement best practices, 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 various business 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 BlackRock stakeholders’ analytical and reporting needs
Create ER diagrams, data flow diagrams and other visualizations to represent data models and workflows
Develop and enforce data modeling best practices and standards
Optimize data models for query performance, ensuring efficient data retrieval across large datasets
Partner with BlackRock business and corporate 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