IT Data Architect - Ciudad de México - Siemens

Siemens

Empresa verificada

Ciudad de México

hace 2 semanas

Publicado por:

Rodrigo Fernández

Reclutador de talento para beBee

Descripción

We are seeking a highly skilled and experienced Data Architect to join our team.

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.

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.
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 endtoend data architectures, data flows, and data transformation processes.
Collaborate with crossfunctional 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 databaserelated activities.
Perform data analysis and troubleshooting to resolve complex datarelated issues.

Required Skills:

35 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 problemsolving and analytical skills, with the ability to identify and resolve complex datarelated issues.
Exceptional communication skills, with the ability to effectively collaborate and communicate technical concepts to both technical and nontechnical 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