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Manager, Enterprise Integration & Data Platforms

Invenergy

Chicago, IL · full time · Management

$139,000 – $165,000

Listed on Invenergy’s own careers site. You apply with them directly — we never stand between you and the employer.

What this role is

Lead enterprise data integration and analytics operations at this energy infrastructure company, managing platforms like Databricks and Boomi while overseeing a team of analysts and integration specialists. This role suits experienced technical managers who want to drive data strategy and operational excellence across a large organization.

Our summary, not Invenergy’s wording. The full posting is on their site.

What they ask for

Required

  • Bachelor's degree in Computer Science, Information Systems, or related field
  • 2+ years managing integration programs and technical teams
  • 5+ years with modern integration platforms (Boomi, Azure Integration Services, MuleSoft)
  • 5+ years with modern data platforms (Databricks, Azure Data Factory, Fivetran)
  • 7+ years designing and implementing integration solutions
  • Hands-on experience managing Azure, SQL Server, Azure SQL, Databricks, or Synapse environments
  • Experience supporting or implementing integrations with SaaS platforms
  • Strong understanding of data flows, business processes, and technical interfaces
  • Knowledge of common protocols and formats: XML, JSON, REST, SOAP, JDBC/ODBC, SFTP, PGP encryption
  • Strong communication, organizational, and stakeholder management skills
  • Ability to manage project delivery and multiple changing priorities
  • Eligible to work in the United States without employer sponsorship

Nice to have

  • PMP or similar project management certification
  • Hands-on experience with Boomi AtomSphere administration and monitoring
  • Familiarity with Python, JavaScript, or NodeJS
  • Experience with Power BI or other analytics/data visualization tools
  • Experience with advanced Excel for data validation and manipulation
  • Understanding of Azure Fabric, Unity Catalog, or modern data governance tools

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