47 Ontech Talent Jobs Hiring Near You

Job Summary:
The Data & Integration Manager is responsible for leading the enterprise data, integration, automation, and internal development function in a large, multi-system environment. This role owns the strategy, delivery, quality, governance, and support of data platforms and integration services. The position will play a key role in connecting enterprise business systems, including ERP and other lines of business applications, with downstream reporting, analytics, automation, application, and process-improvement needs. The manager will partner with business leaders, IT infrastructure & operation teams, application owners, vendors, and executive stakeholders to deliver trusted data, reliable integrations, scalable automations, and measurable business value.

Job Duties & Responsibilities:

• Own enterprise data platform strategy, architecture, and delivery for Azure Databases, Dataverse, Data Lakes, Synapse, Fabric, and other platforms in alignment with business priorities.
• Oversee data ELT, ETL, warehousing, semantic modeling, and orchestration processes across operational, analytical, and reporting environments to support enterprise analytics and reporting teams.
• Lead ERP and line of business application integrations (Infor Cloud Suite, PJM, Adobe, Autodesk, Command Alkon, HubSpot, Dispatch, and others) via APIs, EDI, event-driven integrations, and automation workflows.
• Deliver measurable process improvements using automation and integration solutions using Power Platform and other systems (Power Apps, Power Automate, Copilot Studio, etc.).
• Establish development and data governance, quality, security, and documentation standards.
• Develop monitoring, audit, retention, exception handling, reconciliation, and issue-resolution processes related to enterprise data and software development.
• Manage data and development teams, vendors, 3rd party consulting, project backlog, and delivery priorities.
• Partner with business and IT leaders to deliver analytics, integration, and automation value.

Job-Based Competencies:

• Spark / Big Data Processing
• Data Modeling & Warehousing 
• Pipeline Design & Reliability 
• Cloud Data Platforms
• Streaming
• Data Governance & Security
• Architecture & Cost Optimization
• Communication
• Customer Service
• Collaboration & Cross-Team Influence 
• Mentoring & Tech Leadership
• Change Management & Learning Agility 

Experience & Qualifications:

• 8+ years of progressive experience in data engineering, integration, analytics, application development, business intelligence, or enterprise systems roles.
• 3+ years of experience leading teams, managing technical delivery, or overseeing major enterprise data/integration initiatives.
• Strong experience with Microsoft Azure data services, including Azure SQL, Azure Data Factory, Data Lake/Lakehouse, Synapse, Fabric, and equivalent cloud data platforms.
• Experience integrating, expanding, and onboarding ERP systems; experience with Infor Cloud Suite Distribution is strongly preferred.
• Experience with API-based integrations, EDI, ETL/ELT data pipelines, automation workflows, and enterprise integration patterns.
• Hands-on and/or leadership experience with Power BI, Power Apps, Power Automate, Databricks, SQL, Python, Spark, and modern analytics platforms.
• Experience establishing standards for development lifecycle, source control, testing, deployment, documentation, monitoring, and production support.
• Experience supporting multi-location, enterprise-scale operations with distributed business processes and systems.
• Bachelor’s degree in Information Technology, Computer Science, Data Engineering, Information Systems, Business Analytics, or equivalent.
• Experience supporting audits, compliance, data disaster recovery, and business continuity planning is a plus.
• Ability to lead and communicate clearly with technical teams, vendors, and cross-functional initiatives with clear accountability and follow-through.
• Strong analytical mindset with ability to troubleshoot complex data, integration, automation, and business process issues.
• Strong documentation, change management, testing, release management, governance, and support habits.

Experience & Qualifications:

• TOGAF, ITIL, CBIP, PMP, and/or Microsoft Data Engineering / Development / Architecture certifications.
• Familiarity with Azure API Management, Infor ION API Gateway, MuleSoft, Boomi, Apigee, Kong, Amazon API Gateway, Postman, SAP Integration Suite frameworks and platforms.

Work Environment:

• Work is typically performed in an indoor office environment.
• Exposure may include noise, machinery, dust, and public interaction.
• 10-20% travel is required (up to 50% while onboarding the first 90 days)
• Typical work performed during business hours

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