We are seeking a highly skilled and experienced DataArchitect to join our team. As a Data Architect, you will be responsible fordesigning and implementing scalable, efficient, and secure data architecturesto support our organization's data-driven initiatives. You will play a crucialrole in defining and implementing data integration, storage, and processingsolutions that align with business needs.

Responsibilities:

• Design and develop robust data architectures, data models, and data integration solutions.
• Collaborate with stakeholders to understand business requirements and translate them into data architecture designs.
• Develop and maintain a comprehensive understanding of existing data structures, systems, and applications.
• Analyze data requirements, perform data profiling, and identify data quality issues.
• Implement best practices for data governance, data security, and data management.
• Design and optimize data storage and retrieval mechanisms for efficient and scalable performance.
• Develop and maintain documentation of end-to-end data architectures, data flows, and data transformation processes.
• Collaborate with cross-functional teams, including data engineers, data analysts, and software developers, to ensure effective data integration and utilization.
• Stay up to date with industry trends, emerging technologies, and best practices in data architecture and management.
• Provide guidance and support to other team members regarding data architecture and database-related activities.
• Perform data analysis and troubleshooting to resolve complex data-related issues.

Required Skills:

• 3-5 years of experience working as a data architect, data modelling or related roles in a organization with multiple stake holders.
• Strong expertise in SQL and database technologies, with a deep understanding of data modeling and query optimization.
• Experience with cloud platforms, particularly AWS (Amazon Web Services), including services like S3, Terraform and Glue.
• Excellent understanding of data integration techniques, data pipelines, and ETL processes.
• Solid knowledge of data governance, data security, and data management principles.
• Strong problem-solving and analytical skills, with the ability to identify and resolve complex data-related issues.
• Exceptional communication skills, with the ability to effectively collaborate and communicate technical concepts to both technical and non-technical stakeholders.
• Bachelor's or Master's degree in computer science, information systems, or a related field.

Preferred Skills:

• Familiarity with SAP data structures, including SAP HANA and SAP ERP systems.
• Experience with SAP Data Services (SAP DS) or other SAP data integration tools.
• Knowledge of SAP Business Warehouse (SAP BW) and SAP Business Objects (SAP BO).
• Understanding of SAP data extraction, transformation, and loading (ETL) processes.
• Experience with other data modeling tools and frameworks.
• Proficiency in Snowflake, including designing and implementing data warehousing solutions.
• Expertise with visualization tools tableau, powerBI and low code platform KNIME
• Expertise with ETL tools Talend, Alteryx, Informatica
• Good understanding of DevOps, CI/CD pipelines and Code Repositories

Join our dynamic global team and contribute to building robustdata architectures that empower our organization to make data-driven decisions.Apply now and be a part of our data-driven journey!

*Siemens is an Equal Opportunity and Affirmative Action Employerencouraging diversity in the workplace. All qualified applicants will receiveconsideration for employment without regard to their race, color, creed,religion, national origin, citizenship status, ancestry, sex, age, physical ormental disability, marital status, family responsibilities, pregnancy, geneticinformation, sexual orientation, gender expression, gender identity,transgender, sex stereotyping, protected veteran or military status, and othercategories protected by federal, state, or local law.