Design and Optimize Scalable Data Systems as SAP’s Data Development Architect
Data Development Architect – Join SAP’s Software Design & Development Team
At SAP, we empower you to bring out your best. As a global leader in enterprise software and cloud-based solutions, SAP helps businesses run better by providing industry-specific, end-to-end solutions. Our company culture fosters collaboration and values flexibility while aligning with a purpose-driven vision to build the foundation for tomorrow’s advancements. We offer a work environment where differences are celebrated, and team members thrive through learning, development, and career growth. At SAP, we help individuals reach their full potential by providing the right tools, opportunities, and support. Join our team and be part of a future-focused, inclusive workplace.
About SAP SuccessFactors:
SAP SuccessFactors is a leading cloud-based Human Capital Management (HCM) software suite that is trusted by over 12,000 customers across various industries worldwide. It serves more than 191 million users in over 200 countries. This suite provides organizations with comprehensive solutions to streamline HR processes, improve workforce analytics, manage talent, enhance employee experiences, and much more. Whether for large enterprises or mid-market companies, SAP SuccessFactors offers scalable, adaptable solutions tailored to meet specific business needs. Its platform integrates core HR functions like recruitment, performance management, learning and development, and compensation, ensuring a global, user-friendly experience. Designed to be flexible and compliant with international regulations, SAP SuccessFactors optimizes workforce management strategies for businesses of all sizes.
About the SAP SuccessFactors HCM Analytics Team:
The HCM Analytics team at SAP SuccessFactors is dedicated to providing powerful, data-driven insights to help businesses optimize their HR processes. This team develops advanced analytics tools that enable organizations to leverage workforce data for better decision-making. By providing insights into talent management, employee performance, workforce trends, and organizational health, the team plays a key role in driving HR transformation. Their work fosters data-centric decision-making within organizations, helping HR leaders align people strategies with business objectives. The HCM Analytics team’s ability to enhance the platform’s capabilities helps businesses gain a deeper understanding of workforce dynamics and make strategic HR decisions that lead to improved operational efficiency.
Position Overview: Data Development Architect
We are seeking a highly skilled Data Development Architect to join our dynamic team. As a Data Architect at SAP, you will design and implement large-scale data architectures that support efficient, scalable, and robust data pipelines. You will play a vital role in optimizing ETL (Extract, Transform, Load) processes, designing comprehensive data models, and developing microservices that integrate seamlessly with various systems. As a Data Development Architect, you will leverage your expertise in Java, Python, Spark, and other technologies while driving best practices in both data engineering and DevOps. If you have a passion for working with cutting-edge technologies and leading high-performance teams, this is the role for you.
Key Responsibilities:
Design and Build Scalable ETL Pipelines:
Architect, design, and optimize large-scale ETL/ELT pipelines with an emphasis on performance, scalability, and data integrity. You will ensure the seamless integration of data pipelines within the overall data ecosystem, helping businesses manage and analyze large datasets.
Microservices Development and Maintenance:
Lead the design and development of microservices that manage data processing tasks. You will create reusable, scalable, and maintainable services that can scale efficiently to meet business needs. These services are central to managing data workflows across multiple platforms.
Data Integration and Transformation:
Collaborate with cross-functional teams to design and implement data integration from multiple systems, such as HCM (Human Capital Management) and data platforms. Focus on transforming, cleansing, and deduplicating data while ensuring the pipelines remain efficient and maintainable.
Optimize Data Processing:
Focus on optimizing the performance of ETL pipelines, prioritizing real-time data processing with low-latency delivery. Troubleshoot and debug complex issues within distributed systems to ensure smooth and uninterrupted data workflows.
Database and Big Data Tools Management:
Leverage tools like SQL, Hive, HBase, and Parquet to manage large-scale datasets. Ensure that data is queried, stored, and processed efficiently, keeping the performance cost-effective and scalable.
Performance Optimization and Data Quality:
Lead initiatives to maintain and improve data quality across data pipelines. Implement data transformation and performance optimization techniques to ensure data pipelines deliver high-quality, reliable data at all times.
Collaboration and Mentorship:
Work closely with Data Scientists, Analysts, and Engineers to ensure smooth data integration and quality outcomes. Provide leadership and mentorship to junior engineers, promoting best practices in data engineering and DevOps.
Skills & Competencies:
Strong Technical Expertise:
In-depth knowledge of programming languages such as Python, Java, or Scala to build scalable data pipelines and microservices.
Proficiency with Apache Spark, Kafka, and Airflow for building workflows and handling large datasets efficiently.
Expertise in SQL for interacting with databases, querying structured data, and ensuring optimized operations.
Experience in Microservices Architecture:
Hands-on experience in designing and implementing microservices that manage data services in a modular and scalable manner.
Ability to architect systems that can be deployed, monitored, and maintained in a cloud environment.
DevOps Expertise:
Proficiency with DevOps tools like Jenkins, Git, Docker, and Kubernetes to automate testing, deployment, and scaling of data systems using Continuous Integration (CI) and Continuous Deployment (CD).
Big Data & Distributed Systems:
Experience with big data tools such as Hive, HBase, and Parquet for handling and managing large-scale datasets.
A solid understanding of cloud-based infrastructure and data lake architectures, ensuring high scalability and reliability.
Machine Learning Integration:
Familiarity with integrating machine learning (ML) workflows into data engineering pipelines.
Experience automating ML data processing and deployment to enhance predictive capabilities.
Problem Solving and Debugging:
Expertise in identifying, troubleshooting, and resolving performance issues in distributed systems.
Proficient in root cause analysis, error handling, and fault tolerance strategies to ensure data integrity.
Real-Time Data Processing:
Skilled in optimizing real-time data processing pipelines, ensuring low-latency and high-throughput performance at scale.
Work Experience & Education:
A minimum of 10 years of professional experience in data architecture, programming, and system troubleshooting is required.
Outstanding written and verbal communication skills.
A Bachelor’s or Master’s degree in Computer Science or related field is essential.
About SAP:
SAP is a global leader in enterprise software, helping over 400,000 customers worldwide optimize their business operations through a suite of intelligent technologies and cloud-based solutions. SAP is committed to sustainability, collaboration, and delivering solutions that drive digital transformation. Whether for business analytics, intelligent technologies, or experience management, SAP innovations help organizations run more efficiently and make data-driven decisions.
We believe in fostering an inclusive work environment where employees from all backgrounds feel supported and empowered to contribute their best work. SAP offers flexible working models, health and well-being initiatives, and equal opportunities to help everyone unleash their full potential. As part of our mission to create a more equitable world, we actively support diversity, inclusion, and accessibility across our global workforce.
Why SAP:
At SAP, you will be part of a diverse and dynamic team where creativity and innovation are encouraged. We prioritize personal growth and development, offering career advancement opportunities through continuous learning. SAP is a purpose-driven company with a strong focus on creating positive social impact. We embrace inclusivity and promote flexibility, ensuring everyone can work at their best while balancing personal and professional responsibilities.
SAP is an equal opportunity employer. We are committed to hiring qualified individuals and providing reasonable accommodations for those with disabilities. If you need assistance or accommodations during the application process, please reach out to our Recruiting Operations Team at Careers@sap.com.
By joining SAP as a Data Development Architect, you will play a key role in shaping the future of data engineering. You’ll be at the forefront of transforming businesses and driving innovation through cutting-edge technologies, working in a collaborative environment with a focus on continuous improvement and success.
Apply now and help us create the best workplace for the world to run better!