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About the Role

As a Forward Deployed Data Engineer, you will design and implement modern enterprise data platforms that enable AI applications, analytics, and business processes. You will build scalable data pipelines, data models, semantic layers, and integrations across SAP and non-SAP systems. This role is for engineers who enjoy solving complex data challenges in customer-facing environments.

Responsibilities

• Design and implement scalable batch and real-time data pipelines.
• Build data ingestion frameworks integrating SAP and non-SAP enterprise systems.
• Develop logical and physical data models, semantic layers, and business schemas for AI applications.
• Build ELT/ETL pipelines using SQL, Python, Spark, and modern data engineering frameworks.
• Implement data quality, lineage, governance, metadata management, and validation processes.
• Develop APIs and data services that expose enterprise data to AI agents and applications.
• Optimize data storage, query performance, and distributed processing workloads.
• Deploy and operate data platforms on SAP BTP, Kubernetes, hyperscalers, and cloud-native environments.
• Collaborate with AI engineers, solution architects, and customer stakeholders to translate business requirements into robust data solutions.
• Create reusable accelerators, reference data models, and engineering best practices.

Requirements

• Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related discipline.
• 3–7 years of professional experience in data engineering or platform engineering.
• Strong SQL and Python programming skills.
• Hands-on experience with Apache Spark, Databricks, Kafka, Airflow, or similar modern data platforms.
• Experience designing enterprise data models, data lakes, lakehouses, and data warehouses.
• Experience with PostgreSQL, SAP HANA, Snowflake, BigQuery, or equivalent databases.
• Knowledge of data governance, lineage, metadata management, and data quality practices.
• Experience with Docker, Kubernetes, Git, CI/CD, and cloud platforms (AWS, Azure, or GCP).
• Exposure to SAP Datasphere, SAP HANA Cloud, SAP Integration Suite, SAP BTP, or SAP AI Core is highly desirable.
• Strong analytical thinking, customer engagement, and communication skills.
• Experience supporting AI/ML workloads through feature stores, vector databases, or embedding pipelines.
• Knowledge of Knowledge Graphs, GraphRAG, or semantic technologies.
• Experience with dbt, Iceberg, Delta Lake, or Apache Flink.
• Open-source contributions or experience with AI-assisted engineering tools such as GitHub Copilot or Cursor.

Skills

• SQL
• Python
• Apache Spark
• Databricks
• Kafka
• Airflow
• PostgreSQL
• SAP HANA
• Snowflake
• BigQuery
• Docker
• Kubernetes
• Git
• CI/CD
• AWS
• Azure
• GCP
• SAP Datasphere
• SAP HANA Cloud
• SAP Integration Suite
• SAP BTP
• SAP AI Core
• Feature stores
• Vector databases
• Embedding pipelines
• Knowledge Graphs
• GraphRAG
• Semantic technologies
• dbt
• Iceberg
• Delta Lake
• Apache Flink
• GitHub Copilot
• Cursor

Location

• New York City

Work Type

• Hybrid
• Regular Full Time

Experience Level

• 3-7 years

Education Level

• Bachelor's degree
• Master's degree

Salary/Compensations

• 90000-198500 USD

Benefits

• Constant learning
• Skill growth
• Great benefits
• Team that wants you to grow and succeed
• SAP North America Benefits

About the Company

• 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.

Equal Opportunity

• 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.
• 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.