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Managing Director, Data Platform Engineer

Job in Rockford, Winnebago County, Illinois, 61103, USA
Listing for: Access Search, Inc.
Full Time position
Listed on 2026-06-14
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
  • Location: Chicago, IL or Los Angeles, CA (Hybrid)
  • Compensation: Competitive Base 225k - 250k + Bonus, up to 425k!
Overview

A leading alternative asset management firm is seeking a Head of Data Platform Engineering to lead the strategy, modernization, and delivery of enterprise-scale data platforms supporting investment, operational, and reporting functions. This leader will oversee both cloud‑native and legacy data environments while driving platform reliability, scalability, and engineering excellence.

Key Responsibilities
  • Lead enterprise data platform engineering strategy, architecture, and roadmap execution.
  • Drive modernization initiatives, including migration from legacy environments to cloud‑native platforms.
  • Oversee data platform development across Azure, AWS, Microsoft Fabric Databricks, One Lake, Snowflake, DBT, Python, and modern ETL/ELT technologies.
  • Establish engineering standards, CI/CD practices, monitoring, observability, and operational excellence.
  • Manage and mentor engineering teams responsible for data infrastructure, pipelines, and platform services.
  • Partner with Data Products, Analytics, Governance, Infrastructure, and Security teams to deliver scalable data solutions.
  • Define and track platform KPIs, including reliability, delivery velocity, adoption, and cost efficiency.
  • Evaluate and manage technology vendors, consulting partners, and platform tooling.
Required Qualifications
  • 15+ years of experience in Data Engineering, Platform Engineering, or Enterprise Data Infrastructure.
  • Proven global leadership experience managing enterprise data engineering organizations.
  • Deep expertise with modern cloud data ecosystems, including Azure, AWS, Snowflake, Databricks, and data lake/lakehouse architectures.
  • Strong knowledge of data modeling, orchestration frameworks, data pipelines, metadata management, and data quality.
  • Experience leading large‑scale platform modernization and cloud migration initiatives.
  • Hands‑on understanding of CI/CD, Dev Ops automation, platform monitoring, and engineering best practices.
  • Ability to communicate effectively with both executive leadership and technical stakeholders.
  • Financial Services, Asset Management, or Capital Markets experience strongly preferred.
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