Data Architect

hace 1 semana

Xico, México Siemens A tiempo completo

We are seeking a highly skilled and experienced Data Architect to join our team at Siemens. As a Data Architect, you will be responsible for designing and implementing scalable, efficient, and secure data architectures to support our organization's data-driven initiatives. You will play a crucial role in defining and implementing data integration, storage, and processing solutions that align with business needs.

**Key Responsibilities:**

• Design and develop robust data architectures, data models, and data integration solutions that meet business requirements.

• Collaborate with stakeholders to understand business needs and translate them into data architecture designs.

• Analyze data requirements, perform data profiling, and identify data quality issues to ensure data accuracy and integrity.

• Implement best practices for data governance, data security, and data management to protect sensitive data.

• 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 stakeholders.

• 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, Power BI, and low-code platform KNIME.

• Expertise with ETL tools Talend, Alteryx, Informatica.

• Good understanding of DevOps, CI/CD pipelines, and code repositories.

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