Data Engineer With AWS + Snowflake

Data Architect – AI, Data & Analytics LAC
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Design and deliver modern data architectures that support analytics, AI, and business transformation initiatives. Position SAP BDC as the central enterprise data layer and ensure integration with industry‑standard platforms such as Databricks, Snowflake, and hyperscale data platforms. Support the development of data architecture designs, contribute to roadmap creation, and evaluate technology choices to ensure solutions are scalable, secure, and aligned with customer requirements. Apply architectural standards and governance models, and aid in reducing technical debt across data and analytics landscapes. Collaborate closely with senior architects, SAP product teams, partners, and customer project teams—supporting solution design, validating integrations, performing issue analysis, and ensuring architectural consistency. Through strong communication, documentation, and analytical skills, help customers adopt SAP BDC effectively, modernize their data platforms, and accelerate outcomes in analytics and AI programs.
Strong understanding of modern data and analytics platforms (Databricks, Snowflake, BigQuery, Azure/AWS/GCP data services, streaming/event architectures).
Good knowledge of SAP data platforms including BDC, Datasphere, SAC, BW/4 HANA, and HANA Cloud.
Experience designing data models, integration patterns, and analytical data pipelines.
Working knowledge of data governance fundamentals: lineage, metadata management, MDM, lifecycle management, and compliance considerations.
Ability to translate business needs into data architecture requirements and communicate them clearly to technical teams.
Contribute to the design of customer‑specific data architectures using SAP BDC and complementary non‑SAP platforms. Support creation of architecture diagrams, data models, integration patterns, and supporting documentation. Accountable for developing roadmaps aligned to analytics, AI, and cloud strategies. Support implementation of data governance practices, including quality checks, lifecycle management, and metadata standards. Help enforce clean‑core and extensibility guardrails for SAP and non‑SAP data components. Participate in architecture reviews, quality gates, and compliance checks.
Support solution delivery teams with technical guidance on data integration, modeling, and platform configuration. Assists in analyzing performance, data quality, and design issues during projects. Work collaboratively with SAP colleagues, hyperscaler teams, and technology partners to ensure smooth delivery. Help clarify requirements, translate business needs into technical specifications, and support stakeholder alignment. Provide insights on data modernization opportunities that enhance analytics and AI use cases. Promote usage of SAP BDC for data unification and analytics readiness. Support modernization of BI, data engineering, and AI landscapes. Stay current with evolving SAP and non‑SAP data technologies and share insights with teams.
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Information Systems, or Business Administration (or equivalent experience).

• *****+ years of experience in data architecture, data engineering, analytics, or related technical roles.
• Hands‑on experience designing or supporting modern data platforms and analytical solutions.
• Exposure to SAP analytics and data products (BDC, Datasphere, SAC, BW/4 HANA, S/4 HANA) and integration with non‑SAP platforms.
• Experience working in customer‑facing roles, delivery projects, or large‑scale transformation programs.
• Experience with SAP AI and leading AI market solutions, with strong ability to position them effectively for enterprise adoption.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities.
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, etc.), sexual orientation, gender identity or expression, protected veteran status or disability, in compliance with applicable federal, state, and local legal requirements.