Forward Deployed Data Engineer

Position:
Forward Deployed Data Engineer

Company:
SAP

Compensation:
90000-198500 USD

Location:
United States, New York City

Employment type:
Regular Full Time

Work Arrangement:
Hybrid

Short Summary:
As a Forward Deployed Data Engineer, you will design and implement modern enterprise data platforms that enable AI applications, analytics, and business processes, working directly with customers to solve complex data challenges.

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.

Requirement:
- 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.

Benefits:
SAP provides a range of benefits, including opportunities for constant learning, skill growth, and a supportive team environment.