Manager, Enterprise Integration & Data Platforms

Invenergy

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Chicago, IL
Salary
$139,000–$165,000 / yr
Employment
Full-time
Posted
19 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $192k
This role $152k
$128k $238k
below market most similar roles pay here above market

This role pays less than 82% of similar roles. Most pay $160,400–$223,750 — the blue band above. At the midpoint, this role pays about $152k versus about $192k for comparable roles.

Based on 240 similar postings.

Employer

About Invenergy

Invenergy is a leading independent power generation and storage company developing, owning, and operating renewable energy projects including wind, solar, natural gas, and energy storage facilities. Industry: Renewable Energy

Invenergy currently has 18 open roles on FindRole.

Listed pay typically runs $134,000–$155,000 across 18 roles with salary data.

Most-posted roles

View all roles at Invenergy

At a glance

TL;DR · Manager, Enterprise Integration & Data Platforms

The Manager, Enterprise Integration & Data Platforms leads the enterprise application integration and data operations program. This role involves overseeing the operational management of data pipelines, analytics platforms, and integration workflows while providing technical leadership to a team of analysts, specialists, and external vendors. Key responsibilities include developing program roadmaps, governing standards, and ensuring the seamless flow of data across business processes. The manager will utilize a technology stack including Azure, Databricks, Synapse, SQL Server, and Boomi to manage system configurations and platform health. Core competencies include designing REST, SOAP, and API integrations, managing metadata, and ensuring data quality. The role solves the business problem of maintaining a secure, reliable, and high-performing enterprise data ecosystem through process optimization and cross-functional collaboration.

What you'll do

  • Lead the enterprise application integration and data operations program, including roadmap development and strategic planning.
  • Oversee daily operations and monitoring of data pipelines across Azure, Databricks, Synapse, SQL Server, and Boomi.
  • Supervise the design, development, deployment, and maintenance of application integrations using Boomi and other technologies.
  • Ensure all integrations and data pipelines adhere to enterprise governance, security, and compliance requirements.
  • Partner with business teams to understand analytics needs and support data exploration for self-service usage.
  • Manage a team of system analysts and third-party vendors to deliver integration support and new capabilities.
  • Develop metrics, dashboards, and weekly status reports to communicate operational performance and guide decision making.
  • Maintain shared repositories of system documentation, SOPs, architecture diagrams, and training materials.

What we're looking for

  • Bachelor’s degree in Computer Science, Information Systems, or a related field.
  • 2+ years of experience managing integration programs and technical teams.
  • 5+ years of experience working with modern integration platforms such as Boomi, Azure Integration Services, or MuleSoft.
  • 5+ years of experience working with modern data platforms such as Databricks, Azure Data Factory, or FiveTran.
  • 7+ years of experience designing and implementing integration solutions including REST, SOAP, APIs, and file-based integrations.
  • Hands-on experience managing Azure, SQL Server, Azure SQL, Databricks, or Synapse environments.
  • Experience supporting or implementing integrations with SaaS platforms like Oracle Cloud, Workday, or Hexagon EAM.
  • Eligible to work in the United States without the need for employer sponsorship.
  • PMP or similar project management certification (preferred).
  • Hands-on experience with Boomi AtomSphere administration and monitoring (preferred).
  • Familiarity with Python, JavaScript, or NodeJS (preferred).
  • Experience with Power BI or other analytics and data visualization tools (preferred).
  • Experience with advanced Excel for data validation and manipulation (preferred).
  • Understanding of Azure Fabric, Unity Catalog, or modern data governance tools (preferred).

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