Data Development Architect

 We help the world run better

At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.

ABOUT SAP SUCCESSFACTORS:

SAP SuccessFactors is a leading cloud-based Human Capital Management (HCM) software suite that provides comprehensive solutions for HR processes, including talent management, workforce analytics, and employee experience. With over 12,000 customers across diverse industries and 191 million users in more than 200 countries, SuccessFactors is trusted by organizations of all sizes. Its flexibility allows it to cater to both large enterprises and mid-market companies, offering scalable solutions that can be tailored to meet specific business needs. The platform supports various HR functions, such as recruitment, performance management, learning and development, and compensation, all in a global, user-friendly environment. SAP SuccessFactors is designed to be scalable and adaptable, helping organizations improve HR processes while ensuring compliance with international regulations. Its widespread adoption and industry-specific capabilities make it a critical tool for companies looking to optimize their workforce management strategies.

ABOUT HCM ANALYTICS TEAM:

The SAP SuccessFactors HCM Analytics team is responsible for delivering powerful, data-driven insights to help organizations optimize their HR processes. This team focuses on developing and enhancing advanced analytics tools within the SuccessFactors suite, enabling businesses to leverage workforce data for better decision-making. By providing actionable insights into talent management, employee performance, workforce trends, and organizational health, the HCM Analytics team plays a key role in driving HR transformation and improving operational efficiency. Their work supports HR leaders in aligning people strategies with business objectives, fostering a data-centric culture within the organization.

The team collaborates with various departments to ensure the development of user-friendly, scalable analytics solutions that meet the unique needs of businesses globally. Their expertise in HR data analysis, predictive modelling, and reporting allows organizations to gain a deeper understanding of their workforce dynamics and make more informed, strategic HR decisions. The SuccessFactors HCM Analytics team is committed to continuously enhancing the platform's capabilities to provide customers with the tools they need to stay ahead in today’s competitive and rapidly evolving business environment.

POSITION OVERVIEW:

We are looking for an experienced and highly skilled Data Architect to join our team. The ideal candidate will be a strategic thinker, capable of designing and implementing large-scale data architectures that support efficient, scalable, and robust data pipelines. You will be responsible for building and optimizing ETL/ELT processes, designing data models, and developing microservices that integrate with various systems. In addition, you will be responsible for driving best practices in both data engineering and DevOps. If you have a strong background in Java, Python, Spark, and data engineering, along with expertise in DevOps practices, this role is for you.

RESPONSIBILITIES:

• Design and Build Scalable ETL Pipelines: Architect, design, and optimize large-scale ETL/ELT pipelines that prioritize performance, scalability, and data integrity. Ensure the seamless integration of data pipelines within the overall data ecosystem.
• Microservices Development and Maintenance: Lead the design and development of microservices for managing data processing tasks. Create reusable, scalable, and maintainable services for data handling and ensure they can scale efficiently to meet business needs.
• Data Integration and Transformation: Work collaboratively with cross-functional teams to design and integrate data from multiple systems, including HCM and Data Platform. Focus on high-quality data transformation, cleansing, and deduplication, ensuring efficient, maintainable pipelines.
• Optimize Data Processing: Drive the optimization of ETL pipeline performance, with a focus on real-time data processing and low-latency delivery. Troubleshoot, debug, and resolve issues in complex distributed systems.
• Database and Big Data Tools Management: Leverage SQL and big data tools (e.g., Hive, HBase, Parquet) to manage large datasets, querying and storing data at scale. Ensure high-performance and cost-effective storage and querying of data.
• Performance Optimization & Data Quality: Lead initiatives to maintain and improve data quality by implementing best practices for data deduplication, transformation, and performance optimizations across data pipelines.
• Collaboration and Mentorship: Work closely with Data Scientists, Analysts, and Engineers to ensure smooth data integration and high-quality outcomes. Provide mentorship and leadership to junior engineers, encouraging the adoption of best practices in data engineering and DevOps

SKILLS & COMPETIENCES

• Strong Technical Expertise:
  • In-depth knowledge of Python, Java, or Scala for building scalable data pipelines and microservices.
  • Proven experience with Apache Spark, Kafka, and Airflow for building data workflows and handling large datasets.
  • Proficient in SQL for querying structured data and interacting with databases, ensuring efficient data operations.
  • Experience in microservices architecture to build, deploy, and manage data services in a scalable, modular fashion.
  • Expertise with DevOps tools such as Jenkins, Git, Docker, and Kubernetes to support continuous integration and continuous delivery (CI/CD) processes for data solutions.
• Big Data & Distributed Systems:
  • Hands-on experience with big data tools like Hive, HBase, Parquet, and other data storage solutions to manage large-scale data.
  • Proficient in data transformation, deduplication, and performance optimization techniques within distributed systems.
  • Familiarity with cloud-based data infrastructure and data lake architectures, ensuring scalability and reliability for high-volume workloads.
• Machine Learning Integration & Optimization:
  • Familiarity with integrating Machine Learning workflows into data engineering pipelines, automating ML data processing and deployment.
• Problem-Solving & Debugging:
  • Root Cause Analysis & Performance Tuning: Quickly diagnose and resolve issues in data pipelines and distributed systems, optimizing for throughput, latency, and resource efficiency.
  • Error Handling & Fault Tolerance: Implement robust error-handling mechanisms and fault-tolerant systems to ensure data integrity and reliable operations in production environments.
  • Scalability & Real-Time Debugging: Troubleshoot scalability issues and optimize real-time data processing pipelines, ensuring low-latency and high-throughput performance at scale.
  • Proactive Monitoring & Alerts: Set up and refine monitoring, logging, and alerting systems to detect and address potential issues before they affect system performance.
  • Cross-Team Collaboration: Work closely with cross-functional teams to resolve complex integration and system issues, ensuring smooth data flow and operations across the architecture.

WORK EXPERIENCE & EDUCATION  

• Requires 10+ years of professional experience is essential for understanding system architecture, programming, and technical troubleshooting.
• Outstanding written and verbal communication skills.
• Bachelors/master’s in computer science required.

​Bring out your best

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.

We win with inclusion

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 and more equitable world.
SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

EOE AA M/F/Vet/Disability:

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.
Successful candidates might be required to undergo a background verification with an external vendor.

Requisition ID: 419967  | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations: #LI-Hybrid.