Enterprise Architect - Data & Analytics, Center of Excellence

About the Role

We are looking for an experienced Enterprise Architect – Data & Analytics to help shape and evolve our enterprise-wide data, analytics, and AI capabilities.

As part of the Data & Analytics Center of Excellence (CoE), you will define the strategic architecture for data platforms, integrations, governance, and analytics solutions. You will ensure our data landscape is scalable, secure, well-governed, and ready to support future business growth and AI innovation.

This is a senior leadership role that requires strong expertise in enterprise data architecture, cloud technologies, and stakeholder management.

Key Responsibilities

Enterprise Architecture & Integration

• Define and govern enterprise data integration architecture and standards.

• Design scalable and reusable data integration patterns across systems and platforms.

• Drive alignment between business goals, analytics requirements, and technology solutions.

• Act as a trusted advisor on data, analytics, and AI transformation initiatives.

Data Platform & Cloud Strategy

• Lead architecture for the Enterprise Data Platform supporting analytics, AI, and data products.

• Establish best practices for:

  • AWS cloud data solutions

  • Databricks Lakehouse architecture

  • dbt analytics engineering frameworks

  • SAP integrations and data ecosystems

• Ensure solutions are scalable, secure, resilient, and cost-effective.

• Promote platform reuse and reduce duplication across teams.

Data Governance & Master Data Management

• Define standards for data quality, metadata, lineage, security, and access management.

• Drive enterprise Master Data Management (MDM) and reference data strategies.

• Partner with governance, privacy, and security teams to ensure compliance and regulatory requirements are met.

Analytics & AI Enablement

• Design architectures that support advanced analytics, AI, and future data-driven capabilities.

• Create scalable and trusted data foundations for AI and analytics initiatives.

• Ensure solutions meet security, compliance, and quality standards, including regulated pharma requirements.

Leadership & Stakeholder Engagement

• Collaborate with architects, engineers, platform teams, SAP teams, governance leads, and business stakeholders.

• Provide architectural guidance, mentorship, and design assurance across delivery teams.

• Present architectural recommendations and trade-offs to senior leaders.

• Represent the Data & Analytics CoE in enterprise architecture and governance forums.

What You'll Bring

Required Experience

• Extensive experience in Enterprise Architecture, Data Architecture, Cloud Architecture, or Integration Architecture.

• Strong background designing enterprise-scale data and analytics platforms.

• Expertise in data integration, ingestion, and harmonization using batch, streaming, and event-driven approaches.

• Hands-on experience with:

  • AWS

  • Databricks (Lakehouse, Spark, Delta Lake)

  • dbt

  • SAP HANA Cloud (preferred)

• Strong understanding of data modeling and domain-driven design.

• Experience with data governance, data quality, metadata management, and MDM.

• Excellent communication, stakeholder management, and influencing skills.

Preferred Qualifications

• Experience working in large, complex, or highly regulated organizations.

• Exposure to Data Mesh or domain-oriented data environments.

• Familiarity with data catalog, metadata management, and observability tools.

• TOGAF or equivalent Enterprise Architecture certification.

• Understanding of PMO processes, SDLC governance, and architecture standards.

Why Join Us?

• Shape the future of enterprise-wide data, analytics, and AI capabilities.

• Influence strategic technology decisions across the organization.

• Work with modern cloud and data technologies, including AWS, Databricks, SAP, and AI platforms.

• Join a high-impact team driving innovation, governance, and data excellence at scale.

Travel: Occasional international travel may be required for stakeholder meetings, workshops, and team events.