Head of Data & Integration

Key Responsibilities:

1. Strategic Leadership & Architecture:

• Cross-Functional Leadership: Lead multi-disciplinary teams through high-pressure cycles, including global ERP rollouts and cloud transformations.

• Architecture Roadmap: Define the strategy bridging synchronous APIs (Boomi) with asynchronous event-streaming (Kafka/RabbitMQ).

• Data Stack Evolution: Oversee the transition and scaling of a modern Lakehouse (Medallion) architecture to support BI and AI/ML workloads.

• Stakeholder Orchestration: Align executive strategy with technical execution; serve as the final technical arbiter for cross-functional data mapping disputes.

2. ERP Rollout & System Alignment:

• Data Migration Strategy: Own the ETL/ELT strategy for data cleansing, transformation, and cutover of master and historical transactional data into the new ERP.

• Data Governance & Integrity: Partner with platform owners (ERP, CRM, HRMS) and governance teams to enforce schema standards, mandatory field mapping, and prevent data corruption.

3. Hands-on Technical Execution (40%):

• Code & Pipeline Engineering: Perform rigorous code reviews for Python/SQL data pipelines and optimize enterprise-scale PowerBI semantic models.

• Infrastructure as Code (IaC): Develop Terraform or Bicep scripts to automate workload deployments within Azure Landing Zones.

• L3 Escalation: Act as the ultimate troubleshooting tier for critical integration, connectivity, or mapping failures.

4. Middleware & Operations:

• Integration Management: Direct the development of secure, high-availability integrations using Boomi iPaaS and API Management (APIM).

• DevOps & Vendor Ownership: Enforce CI/CD pipelines, automated testing, and observability while managing cloud and platform licensing (Azure, Boomi).
  

Requirements & Qualifications:

1. Experience & Education:

• Education: Bachelor’s or Master’s degree in Computer Science or a related field.

• Overall Experience: 10+ years in IT/Data roles, with at least 4 years leading multi-disciplinary teams.

• ERP & Integration Track Record: Proven experience leading data operations for a large-scale ERP rollout (e.g., SAP, NetSuite) and managing complex middleware projects across 4+ disparate systems.

1. Technical Skills & Knowledge:

• Azure Mastery: 6–10 years of hands-on experience architecting end-to-end solutions within the Azure Data Stack. (Azure Architect/Data Engineer certifications highly desired).

• The "Core Four": Practitioner-level expert in Python, SQL, Azure Data Factory, and Spark/Databricks.

• Analytics Delivery: Advanced PowerBI optimization and complex DAX modeling skills.

• B2B Integration Protocols: Mastery of B2B protocols (HTTP, AS2, SFTP, API) and data formats (EDIFACTS, X12, XML, JSON).

• Architectural Frameworks: Deep understanding of Enterprise Integration Patterns (EIP), Event-Driven Architecture, and the Azure Well-Architected Framework.

1. Key Behaviors

• Process-Driven: Exceptionally structured, rigorous, and calm under high-pressure delivery timelines.

• Transparent & Accountable: High ownership in communicating risks, technical trade-offs, and constraints.

• Low-Ego Collaborator: Prioritizes program success and collective outcomes over individual credit.