EDI Migration Lead: Azure DevOps & Stakeholder Liaison

TechDigital Group

Greensboro (NC)

On-site

USD 80,000 - 110,000

Full time

14 days+

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Job summary

An established industry player is seeking a skilled professional to lead their EDI migration program. This role involves overseeing the transition from IBM Sterling to Axway B2Bi while ensuring effective communication with customers and stakeholders. You will implement and manage DevOps capabilities, utilizing tools like Azure DevOps, Jenkins, and Jira to streamline application deployment. Collaborating with cross-functional teams, you will ensure smooth integration and ongoing monitoring of EDI systems. If you are passionate about driving successful migrations and enhancing operational efficiency, this opportunity is perfect for you.

Qualifications

  • Proven experience in leading EDI migration projects.
  • Strong skills in managing customer and stakeholder communications.

Responsibilities

  • Lead the EDI migration from IBM Sterling to Axway B2Bi.
  • Serve as the primary contact for customer and stakeholder communications.
  • Oversee CICD pipelines to ensure efficient application deployment.

Skills

EDI Migration
Customer Engagement
DevOps
CICD Pipelines
Azure DevOps
Jenkins
Jira

Tools

IBM Sterling
Axway B2Bi
Azure DevOps
Jenkins
Jira

Job description

Job Details:
Mandatory Skills:
• Advanced expertise in ETL / ELT pipeline design
• Handling:
o Batch data processing
o Near real time / streaming data
• Experience with structured and semi structured data
• Strong knowledge of:
o Incremental loading
o CDC (Change Data Capture)
• Pipeline orchestration and dependency management
• Strong programming skills in Python or Scala or Java (nice to have)
• Performance optimization for large scale data processing
• Solid understanding of:
o Dimensional modeling (Star / Snowflake)
o Normalized and denormalized models
• Strong experience on: Azure, AWS, or GCP
• Hands on with Data Warehouses (Snowflake, Synapse, BigQuery, Redshift)

Data Architecture & Solution Design
• Design end to end data engineering architectures
• Define scalable solutions for:
o Data lakes / lakehouse
o Data warehouses
o Streaming and real time systems
• Ensure alignment with enterprise architecture, security, and compliance standards
• Review and approve technical designs

Data Pipeline Development & Management
• Lead development of ETL / ELT pipelines
• Handle:
o Batch and real time ingestion
o Structured and semi structured data
• Optimize pipelines for performance, reliability, and cost
• Manage schema evolution and data dependencies

Data Quality, Reliability & Operations
• Establish data quality standards and validation rules
• Implement monitoring, alerting, and observability
• Perform root cause analysis for data incidents
• Drive operational excellence and stability

DevOps / DataOps Enablement
• Build CI/CD pipelines for data workloads
• Automate testing, deployment, and rollback
• Improve reliability through automation
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