Data Architect

9+ years of development experience with 4+ years in finance.
Bachelor’s degree in computer science or related field.
Excellent Strong Python and SQL skills for data processing and automation.
Experience building and maintaining ETL pipelines and data transformations.
Hands-on experience with Snowflake or similar cloud-based data platforms.
Familiarity with data transformation tools such as DBT.
Strong understanding of data structures, data modeling, efficient query design and performance tuning.
Hands-on experience building and deploying containerized applications (Docker, Kubernetes) in cloud environments.
Experience working with relational databases such as MS SQL Server.
Excellent problem-solving skills and the ability to collaborate with cross-functional teams.

Work with the CDO as an individual contributor to deliver key projects with far-reaching impact on trading, alpha generation, risk management, accounting, compliance, and more.
Implement new golden source datasets such as Security Master and Price Master for firm-wide use.
Centralize disparate Python libraries written by quant, risk, and technology teams into high-quality shared libraries.
Review Python code changes and assist with design decisions across dev teams when appropriate.
Transition legacy data pipelines into new target architecture using Snowflake, DBT, and data governance tools.
Process and handle large volumes of data efficiently. Optimize performance for expensive processes.
Communicate complex technical concepts effectively to technical and non-technical stakeholders.

Extensive financial market data literacy with product knowledge spanning equities, fixed income, futures, and options.
Experience designing dashboards in a Business Intelligence tool.
Experience with an observability tool such as OpenMetadata.