Snowflake Data Cloud Architect
Title: Snowflake Data Cloud Architect
Location: New York, NY
Title: Snowflake Data Cloud Architect
Location: New York, NY
As a Snowflake Data Cloud Architect , you will be responsible for designing and implementing scalable, secure, and high-performance data solutions on Snowflake to support our Investment Management business goals . You will lead the architecture for data platform integration , enabling seamless communication between upstream (custodians, market data providers) and downstream (risk, performance, reporting) systems using event-driven approaches . This role requires strategic thinking, technical leadership, and deep expertise in Snowflake and modern data engineering practices.
- Architect and Implement Snowflake Solutions:
- Design and optimize Snowflake-based data architectures for portfolio, security master, transactions, benchmarks, and performance data.
- Implement advanced Snowflake features (Streams, Tasks, Snowpipe, Snowpark) for real-time and batch processing.
- Enable Event-Driven Integration:
- Build ingestion pipelines leveraging Kafka, Azure Event Hub, or similar technologies for market data and transactional feeds.
- Design workflows for upstream and downstream system interoperability.
- Data Governance and Compliance:
- Implement RBAC, data masking, and encryption aligned with enterprise data policy.
- Ensure lineage and observability for regulatory reporting and audit.
- Technical Leadership:
- Act as a trusted advisor for architectural decisions and future-state roadmaps.
- Prepare technical specifications and design documentation.
- Innovation and Best Practices:
- Advocate for data quality through automation, validation frameworks, and rigorous testing.
- Recommend new technologies to improve system performance and reliability.
- Bachelor's degree in Computer Science, MIS, Engineering, or related field.
- 10 years of experience in data architecture/engineering, with 3 years focused on Snowflake.
- Strong background in financial data domains (IBOR/ABOR, transactions, market data, reference data).
- Hands-on experience with:
- Snowflake architecture (warehouses, streams, tasks, Snowpark). SQL, Python; experience with DBT.
- Event-driven technologies (Kafka / Azure Event Hub).
- Web API development (Flask / FastAPI).
- Experience implementing data security measures and compliance frameworks.
- Experience building data solutions with AI tools like Github Copilot.
- Experience with Data Quality Tools such as dbt Test, Monte Carlo, SODA.
- Excellent communication skills with ability to collaborate across business and technology teams.
- SnowPro Core / Advanced Architect certification.
- Experience with Aladdin Data Cloud, Bloomberg DL, or similar investment data platforms.
- Experience with Data Application development (Streamlit, Dash).
- Familiarity with BI tools (Power BI, Tableau).
- Knowledge of FinOps for cost optimization.
- Exposure to Databricks, PySpark, and advanced analytics workflows.
