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# Lead Data Platform Engineer

- **Company:** Madison-Davis, LLC
- **Location:** Mundelein, IL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Audit Trail, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Sharing, Data Warehousing, Python (Programming Language), Metadata, Operational Databases, Cloud Services, Enterprise Data Management, Data Logging, Sql Optimization, Snowflake, Break Fix, Data Lakes, Pyspark, Integration Frameworks, Databricks
- **Published:** October 27, 2026
- **Apply:** https://www.thejobnetwork.com/job/1e6493be-eb20-4ea5-b4c0-3a13b3ead2f6/lead-data-platform-engineer

## About the Role

This is not a heads-down development position or a traditional solutions-architecture role. The ideal candidate has substantial prior hands-on data-engineering experience and can now operate as a technical enablement leader across platform onboarding, framework adoption, documentation, training, troubleshooting, stakeholder engagement, and delivery standards., * 12+ years of experience across data engineering, cloud data platforms, data warehousing, enterprise data architecture, or related disciplines.
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 * Strong hands-on Python experience from production data-engineering projects.
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 * Strong hands-on PySpark experience from production data-engineering projects.
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 * Advanced SQL experience.
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 * Experience with Databricks, Snowflake, or comparable modern enterprise data platforms.
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 * Strong understanding of data warehouses, data lakes, lakehouse platforms, and scalable cloud data architecture.
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 * Experience with ingestion, ETL, transformation, loading, data movement, storage, orchestration, and consumption patterns.
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 * Ability to troubleshoot complex platform and data-delivery issues.
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 * Experience supporting reusable data frameworks, shared data platforms, or enterprise engineering standards.
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 * Experience onboarding business or technology teams onto a shared platform.
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 * Experience driving framework adoption and consistent delivery across multiple teams.
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 * Strong understanding of data quality, lineage, metadata, logging, governance, and auditability.
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 * Ability to review technical designs and code while asking detailed, practical engineering questions.
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 * Experience creating technical documentation, onboarding processes, training materials, or implementation playbooks.
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 * Strong stakeholder-management and communication skills.
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 * Ability to translate technical concepts for business and domain users.
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 * Experience leading or mentoring data engineers or technical resources.
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 * Ability to combine technical leadership, stakeholder engagement, platform enablement, and hands-on troubleshooting.
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 * Ability to work according to the required New York City hybrid schedule.

## Description

A global financial institution is seeking a Lead Data Platform Engineer to drive adoption and enablement for a strategic enterprise cloud data platform. This position sits within a centralized data technology organization responsible for shared data-platform capabilities, engineering frameworks, governance guardrails, data quality, lineage, and consistent delivery across business and technology domain teams., The successful candidate will remain technically credible enough to review engineering work, understand platform architecture, diagnose complex issues, and guide design decisions while leading a small team responsible for helping domain teams adopt and use enterprise data capabilities successfully.