Chief Data Architect - Global Delivery Hub

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At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. 

 

What You'll Do: 

 

The Chief Data Architect is a senior technology leader responsible for defining and governing the customer’s end-to-end data architecture. You will position SAP BDC as the enterprise data foundation while aligning it with modern industry platforms such as Databricks, Snowflake, and hyperscaler services to enable scalable analytics and AI use cases. 

As the primary architecture advisor to SAPs top Enterprise Customers, you will shape their data strategy and vision, create architecture roadmaps, and guide decisions that reduce technical debt and drive long-term value. You will establish architectural guardrails, oversee governance, and ensure solutions align with business objectives and transformation priorities. 

You will provide architecture leadership across the delivery lifecycle—solution design, implementation, and operational readiness—while supporting critical escalations and communicating risks and recommendations to C-level stakeholders. 

This role requires strong collaboration with Account Executives, SAP product teams, hyperscaler experts, and partners to ensure cohesive solution delivery. Through thought leadership and value-based guidance, you will accelerate adoption of SAP BDC as a modern data platform, enabling high-quality analytics, AI innovation, and measurable business outcomes. 

 

What You Bring: 

 

• Senior strategic mindset with proven ability to influence C-level stakeholders and align technical roadmaps to business value. 

• Deep understanding of the following Data & Analytics Platforms: Databricks, Snowflake, BigQuery, Azure/AWS/GCP analytics stacks, Kafka/Event streaming, Lakehouse patterns, Palantir and OpenSource technologies, including the Apache ecosystem 

• Solid SAP platform understanding (BDC, Datasphere, SAC, BW/4HANA, SAP Business Suite, HANA Cloud) and experience of SAP with external data platforms integrated architecture. 

• Strong governance, security, and compliance orientation (data lineage, MDM, GDPR/CCPA considerations). 

• Exceptional communication, storytelling, and presentation skills for executive forums and customer engagements. 

• Comfort operating in ambiguous environments and managing architectural trade-offs and technical debt. 

• Have a good understanding of the commercial and pricing aspect of SAP BDC and other SAP services in the data and analytics space.  

 

EXPECTATIONS AND TASKS 

 

1. Enterprise Data Strategy & Architecture Leadership 

• Define the customer’s end-to-end data architecture vision, positioning SAP BDC as the enterprise data foundation. 

• Create and communicate data architecture roadmaps aligned to business priorities, cloud strategy, and AI ambitions. 

• Guide decisions on architecture trade-offs, modernization paths, and reduction of technical debt. 

• Ensure solution integrity across SAP, hyperscaler, and non-SAP data platforms such as Databricks and Snowflake. 

2. Data Governance, Standards & Architectural Guardrails 

• Establish and enforce architectural guardrails, ensuring consistency, compliance, and long-term sustainability. 

• Lead data governance frameworks, ensuring data quality, lineage, lifecycle management, and security are embedded. 

• Drive adherence to clean-core principles and best practices for extensibility and integration. 

• Define quality gates, architecture reviews, and approval processes across delivery teams. 

3. Solution Design, Delivery Oversight & Critical Guidance 

• Own the definition of customer-specific data solution architectures for analytics and AI use cases. 

• Validate designs, guide project teams, and support delivery decisions across implementation phases. 

• Support critical project escalations, ensuring timely analysis, risk resolution