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Lead Data Engineer (Full-Stack)

InvestorFlow· Global Services
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Santiago de los CaballerosFull-timePosted 2mo ago

About the role

Senior data lead responsible for end-to-end data lifecycle across client engagements, including data extraction/migration, transformation, loading into Azure/Salesforce, and managing productized and custom integrations (Talend, with potential use of MuleSoft, Dell Boomi, etc.). Hands-on role with potential for team leadership or strong individual contributor growth.

Responsibilities

  • Extract, cleanse, deduplicate, and migrate client data from a wide range of source systems (relational databases and CRMs) into target platforms (Azure or Salesforce).
  • Design and execute data transformation pipelines mapping source data to proprietary schema with business rules, normalization, and quality validation.
  • Implement and manage productized integrations, coordinating with clients and internal teams for on-time deployments.
  • Own and maintain custom integrations built on Talend, including monitoring, troubleshooting, optimization, and documentation.
  • Evaluate integration requirements and recommend the right tooling (Talend, MuleSoft, Dell Boomi, Informatica, or equivalent).
  • Contribute to Snowflake-based transformation workloads, optimizing queries and data flows.
  • Build reusable ETL templates and frameworks to accelerate migrations and integrations.
  • Collaborate with Professional Services, Engineering, and client teams to gather requirements and deliver results.
  • Lead or mentor junior data engineers where applicable; provide technical direction and review deliverables.
  • Stay current on emerging tools and trends in data integration, ETL, and cloud platforms.

Qualifications

  • 5+ years of hands-on experience in data engineering, ETL development, and data migration across the full data lifecycle.
  • Strong SQL skills—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 (Talend, MuleSoft, Dell Boomi, Informatica, or equivalent).
  • Deep familiarity with data cleansing, deduplication, and schema mapping techniques.
  • Snowflake experience is a strong plus—transformation, query optimization, and pipeline work.
  • Previous team leadership or mentorship experience preferred; strong individual contributors eager to grow into this area are encouraged to apply.
  • 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.

Skills

Required:Data engineeringSQLPythonETL/Integration platforms
Nice to have:Snowflake
Last updated Oct 21, 2026. Interested? Apply on the company site.
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InvestorFlow is the leading AI-powered front-office platform for capital formation, deployment, and investor services in the private markets.

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