Teams at InvestorFlow

Lead data lifecycle for client engagements: extract, cleanse, deduplicate, transform, and migrate data from varied sources into Azure and Salesforce. Build and optimize ETL/integration pipelines (Talend and productized integrations), contribute to Snowflake workloads, create reusable templates, troubleshoot and document integrations, and mentor junior engineers while coordinating with clients and internal teams.

Own the full data lifecycle across client engagements: extract, cleanse, deduplicate, and migrate data from relational databases and CRMs into Azure and Salesforce; design ETL/transformation pipelines, manage Talend integrations, contribute to Snowflake workloads, build reusable ETL templates, recommend integration tooling, troubleshoot/optimize integrations, and mentor junior engineers.

The Data Lead will manage data lifecycle tasks including data extraction, transformation, and integration using platforms like Salesforce and Azure, while also overseeing team assignments and tool evaluations.