Teams at 73 Strings

Lead enterprise data architecture, design cloud data warehouse/lakehouse solutions (Snowflake, Databricks), define modeling and governance, build integrations and APIs, support implementations, ensure data quality, and advise on LLM/RAG and vector embedding infrastructure for financial services.

Lead enterprise data architecture, design cloud data warehouse/lakehouse solutions (Snowflake, Databricks), define data modeling and governance, build integrations/APIs and ETL/ELT pipelines, implement streaming and orchestration (Kafka, Flink, Spark, dbt, Airflow), support implementations and client engagements, and ensure data quality, security, and regulatory compliance.

Lead enterprise data architecture and platform strategy for a financial services data platform. Design and implement cloud data warehousing and lakehouse solutions (Snowflake, Databricks), data models, governance, and security. Architect integrations/APIs (REST, GraphQL), ETL/ELT pipelines, streaming systems (Kafka, Flink, Spark), orchestration (dbt, Airflow), vector DBs/embeddings and LLM/RAG-safe retrieval. Provide implementation and pre-sales technical leadership for client onboarding and regulatory compliance.