Additional Information
Together we fight for everyone's opportunity for a better financial future.
We will do this together - with customers, partners and colleagues. We will fight for others, not against: We will stand up for and champion everyone's access to opportunities. The status quo is not good enough ... we believe every individual and every community deserves access to financial opportunities. We are determined to support both individuals and communities in reaching a better financial future. We know that reaching this future depends on our actions today.
Like our Purpose Statement, Voya believes in being bold and committed to action. We are committed to a work environment where the differences that we are born with - and those we acquire throughout our lives - are understood, valued and intentionally pursued. We believe that our employees own our culture and have a responsibility to foster an environment where we all feel comfortable bringing our whole selves to work. Purposefully bringing our differences together to positively influence our culture, serve our clients and enrich our communities is essential to our vision.
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Get to Know the Opportunity
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.
The Contributions You'll Make :
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.
Minimum Knowledge and Experience:
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 Data Quality Tool such as dbt Test, Monte Carlo, SODA.
Excellent communication skills with ability to collaborate across business and technology teams.