InvestorFlow is seeking a Data Lead to own the full data lifecycle across client engagements, including extracting and migrating data from disparate databases and CRMs, transforming and loading it into core platforms, and implementing and managing productized integrations.
Requirements
- 5+ years of hands-on experience in data engineering, ETL development, and data migration across the full data lifecycle
- Strong SQL skills, including complex queries, stored procedures, window functions, and performance tuning
- Strong Python proficiency for data transformation, scripting, and automation
- Proven experience extracting and migrating data from diverse source systems, including relational databases and CRMs
- Hands-on experience with at least one enterprise integration or ETL platform, such as Talend, MuleSoft, or Dell Boomi
- Deep familiarity with data cleansing, deduplication, and schema mapping techniques
- Snowflake experience is a strong plus
- Previous team leadership or mentorship experience preferred
- Excellent communication skills in English, with the ability to work cross-functionally and translate technical concepts for non-technical stakeholders
- Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience
Benefits
- Full benefits package
- Generous Paid Time Off
- 401k Matching