Job description

We help the world run better 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. About the Role As a key leader within the Office of the CTO at SAP, you will shape the future of our enterprise data, analytics, and AI ecosystem. This is a highly strategic, forward-looking role that sets the technical vision and architectural standards for our company’s data infrastructure. You will act as the connective tissue between data technologies and the enterprise reality. Specifically, you will serve as a advisor, and subject matter expert responsible for integrating the Apache Iceberg platform into SAP’s Data & Analytics products. With a specialized focus on modern Data Lakehouse architectures, open table formats (Apache Iceberg), open catalog standards (Iceberg REST Catalog, Apache Polaris), and SAP's core data strategy (SAP HANA, Business Data Cloud, and SAP Analytics Cloud), you will ensure our data foundation is scalable, interoperable, and primed to support advanced analytics and next-generation AI initiatives. Key Responsibilities • Bridge Iceberg & SAP Data Products: Act as the primary Subject Matter Expert (SME) and strategic advisor for integrating Apache Iceberg open table formats into SAP’s broader Data & Analytics portfolio. Ensure seamless, high-performance interoperability between open data lakehouse architectures and SAP products. • Drive SAP's Data & AI Strategy: Define and own the architectural roadmap connecting modern Data Lakehouse paradigms with SAP's overarching data analytics strategy. Ensure architectural alignment across SAP HANA, Business Data Cloud (Datasphere), and SAP Analytics Cloud to support business intelligence, scalable machine learning, and Generative AI workloads. • Champion Apache Iceberg: Serve as the foremost enterprise expert on Apache Iceberg. Design transition and federation strategies to create a unified, Iceberg-backed Lakehouse that extends the capabilities of SAP's core data engines for our customers. • Design Open Catalog Architectures: Lead the evaluation, strategy, and implementation of interoperable metadata catalogs. Drive our adoption of the Iceberg REST catalog specification and Apache Polaris to ensure multi-engine compatibility (e.g., integrating SAP engines with Snowflake, Databricks, Dremio, Trino) and eliminate vendor lock-in. • Navigate the Enterprise Landscape: Assess and integrate new technologies within a complex, highly regulated enterprise environment. Ensure all architectural decisions account for enterprise security, unified governance, RBAC, data lineage, and global compliance standards across the SAP ecosystem. • Technical Evangelism & Guidance: Act as a trusted advisor to SAP engineering teams, product managers, and executive leadership. Author technical standards, architectural decision records (ADRs), and proof-of-concept (PoC) implementations to validate strategic bets. • Vendor & Ecosystem Evaluation: Continuously monitor the rapidly evolving data and AI vendor landscape. Assess build-vs-buy scenarios, manage strategic technical partnerships, and ensure SAP remains at the forefront of the open-source data movement. ABOUT THE TEAM: The CTO area’s mission is to future proof our customers and SAP. Together we evolve SAP’s technology strategy and North Star architecture, explore the impact of emerging technologies on SAP’s portfolio and leverage the insights for build/buy/partner decisions. We accelerate innovation across SAP’s portfolio, collaborating with engineering teams in SAP, partners, and start-ups across the globe. With Business AI and Sustainability, we accelerate SAP’s long-term growth and market leadership Qualifications • Experience: 10+ years in data engineering, data architecture, or software engineering, with at least 3+ years in a strategic, enterprise-wide architectural role (OCTO or Enterprise Architecture experience is highly preferred). • SAP Data Strategy Expertise (Nice to Have) : Detailed, hands-on knowledge of SAP’s data and analytics strategy. Must have deep architectural experience with SAP HANA , Business Data Cloud (SAP Datasphere), and SAP Analytics Cloud . • Deep Lakehouse Expertise: Extensive knowledge of Data Lakehouse paradigms and experience with major compute engines (Spark, Trino, Flink) and enterprise platforms. Expertise on Databricks and Snowflake are plus. • Open Table Formats: Deep, hands-on, and theoretical understanding of Apache Iceberg (its internal mechanics, manifest files, snapshot isolation, and optimization techniques like compaction/Z-ordering). • Catalog Mastery: Proven understanding of the metadata catalog ecosystem, specifically the Iceberg REST catalog API and emerging standards like Apache Polaris or Project Nessie. • Enterprise AI/ML Context: Strong understanding of how data architecture impacts AI/ML pipelines, MLOps, vector databases, and LLM fine-tuning/RAG architectures. • Enterprise Pragmatism: Experience dealing with the reality of enterprise landscapes—cloud networking, IAM integration, data privacy laws (GDPR/CCPA), and seamlessly connecting legacy on-premise systems to modern cloud architectures. • Communication: Exceptional ability to translate complex technical concepts into business value for C-suite executives, while retaining the depth required to debate technical merits with senior engineers and product teams. ABOUT THE TEAM: The CTO area’s mission is to future proof our customers and SAP. Together we evolve SAP’s technology strategy and North Star architecture, explore the impact of emerging technologies on SAP’s portfolio and leverage the insights for build/buy/partner decisions. We accelerate innovation across SAP’s portfolio, collaborating with engineering teams in SAP, partners, and start-ups across the globe. With Business AI and Sustainability, we accelerate SAP’s long-term growth and market leadership Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. We win with inclusion SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program , according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability. Compensation Range Transparency : SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP’s commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted annual combined range for this position is . The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance. Please reference this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits . AI Usage in the Recruitment Process For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process . Please note that any violation of these guidelines may result in disqualification from the hiring process. Requisition ID: 447786 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid

Requirements

Must-haves

We help the world run better
Deep Lakehouse Expertise: Extensive knowledge of Data Lakehouse paradigms and experience with major compute engines (Spark, Trino, Flink) and enterprise platforms. Expertise on Databricks and Snowflake are plus.
Open Table Formats: Deep, hands-on, and theoretical understanding of Apache Iceberg (its internal mechanics, manifest files, snapshot isolation, and optimization techniques like compaction/Z-ordering).
Catalog Mastery: Proven understanding of the metadata catalog ecosystem, specifically the Iceberg REST catalog API and emerging standards like Apache Polaris or Project Nessie.
Enterprise AI/ML Context: Strong understanding of how data architecture impacts AI/ML pipelines, MLOps, vector databases, and LLM fine-tuning/RAG architectures.
Bring out your best
We win with inclusion
AI Usage in the Recruitment Process
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process .
Please note that any violation of these guidelines may result in disqualification from the hiring process.
Requisition ID: 447786 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid

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airestmachine learningapimlllmaccessibility

Platform: successfactors
Effort: medium

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