Data Architect

Responsibilities:

• Architect streaming data ingestion and integration with downstream systems
• Implement AI-driven controller to orchestrate tens of millions of streams and micro-batches
• Design AI-powered onboarding of new data sources
• Develop AI-powered compute engine and data serving semantic layer
• Deliver scalable cloud data services and APIs with sub-second response times over petabytes of data
• Develop a unified alerting and monitoring framework supporting streaming transformations and compute across thousands of institutional clients and hundreds of external data sources
• Build a self-service data management and operations platform
• Implement a data quality monitoring framework

Qualifications:

• Bachelor's degree in Computer Science, related field; advanced degree preferred
• 12+ years of experience in data technology
• At least 5 years as a Data Engineer with hands-on experience in cloud environments
• 8+ years of Python programming focused on data processing and distributed systems
• 8+ years working with relational databases, SQL, dimensional modeling, and DBT
• 8+ years designing and administering cloud-based data warehousing solutions (e.g., Snowflake, Databricks)
• 8+ years experience with Kafka or other streaming platforms
• Exposure to AI based advance techniques and tools
• Strong understanding of database fundamentals, including data modeling, advanced SQL development and optimization, ELT/ETL processes and DBT.
• Experience with Java, Oracle, MS SQL Server, Druid, Qlik/Golden Gate CDC, and Power BI is a plus
• Strong leadership abilities and excellent communication skills