Forward Deployed Data Engineering (Chief) Expert

WhatYoullBuild:

In this role you define and drive enterprise scale data engineering strategies and architectures that enable business critical analytics AI and innovation embedded directly within customer environments and fast-moving delivery teams. You are accountable for the architectural integrity and delivery of high impact data engineering outcomes across complex initiatives ensuring alignment between technical decisions and strategic business goals. You work closely with customers and combine cloud native software engineering enterprise data engineering and production grade AI capabilities to solve complex real world business problems at speed. Acting as a senior technical authority and strategist you lead the design of scalable secure and resilient data architectures across SAP andnon SAPlandscapes. Your work directly influences SAPs competitive advantage by ensuring that data assets are reliable governed andoptimizedforenterprise wideuse.

In this role you will:

• Define and govern enterprise scale data engineering architectures standards and reference designs across platforms and initiatives.

• Lead the design and evolution of scalable secure and resilient data platforms pipelines and frameworks.

• Embed directly into customer projects and fast moving cross functional teams to rapidly understand business processes technical landscapes and operational challenges.

• Act as the escalation point for complex technical challenges resolving high impact issues and guiding critical architectural decisions.

• Drive alignment between business strategy and data engineering roadmapsanticipatingfutureneedsandemergingtechnologies.

• Partner with senior stakeholders architects and leadership teams to translate complex technical concepts into clear strategic guidance.

• Ensure data engineering solutions meet enterprise requirements for performance security governance and compliance.

• Influence long term technology direction by introducing innovative approaches and best practices in data engineering.

• Act as a trusted technical advisor to customers and internal stakeholders clearly communicating architecture decisionsimplementationtradeoffs technical risks and delivery progress.

What You Bring:

• Youdemonstratea proactive approach toleveragingAI in everyday workflows ensuringhighqualityoutputs through thoughtful context design and system integration.

• Deepest level of professionalexpertisein data engineering with broad experience across architectures platforms and large-scale data ecosystems.

• Proven ability to act as a technical strategist defining reference architectures standards and long-term data engineering roadmaps.

• Proven ability to work in an Agentic AI context shaping and applying AI agents that act autonomously within defined boundaries collaborate with human stakeholders and deliver measurable business outcomes in customer-centric environments.

• Strongtrack recordof delivering complex innovative and business-critical programs spanning multiple teams or initiatives.

• Advanced capability in data architecture data governance security and privacy within enterprise environments.

• Ability to influence and advise senior stakeholders and executives on high-impact technical and strategic decisions.

• Recognition as a thought leader or go-to expert in data engineering contributing to knowledge sharing and best practices internally and externally.

• Excellent communication and collaboration skills enabling alignment across diverse cross-functional teams.

• Architect andoptimizescalable end-to-end data pipelines and ETL/ELT frameworks

• Lead enterprise-wide data modelling orchestration and cross-platform integration initiatives

• Leverage advanced Python and SQLexpertisefor high-performance data engineering solutions

• Design and implement distributed data processing solutions usingPySparkand Databricks

• Drive workflow automation and orchestration using Airflow and enterprise scheduling platforms

• Deliver enterprise data solutionsleveragingSAP HANA and modern data platform architectures

• Implementlakehousearchitecturesusing Parquet Delta Lake and related storage technologies

• Build andoptimizereal-time streaming pipelines using Kafka and event-drivenarchitectures

• Ensure enterprise-grade data quality governance compliance and PII protection standards

• Apply DevOps best practices including CI/CD Docker and Git for scalable data engineering delivery

Where You Belong:

You will be part of agrowing AI and industry expert teamdedicated to serving customers across the region (Americas Europe Asia). We are building a collaborative high-impact environment that brings together deep AIexpertise strong industry knowledge and regional understanding to help customers innovate transform and lead in their markets.

This team thrives on working together to turn complex business challenges into practical scalable solutions. You will find an environment that valuescuriosity ownership and continuous learning wherenew ideasareencouragedand real-world impact matters. This is a place for people who enjoy building something new. You will thrive here if you arecustomer-centric motivated by meaningful outcomes and comfortable navigating ambiguityin a fast-evolving AI landscape.

We work closely with decision-makers challenge assumptions with data and give data scientists room to influence strategynot just produce analysis. We value sharp thinking business curiosity and clear communication.