Data Architect
Website Siemens EDA
We empower our people to stay resilient and relevant in a constantly changing world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you’d make a great addition to our vibrant international team.
This position will be based out of our Orlando, Florida office.
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.
You’ll Make a Difference by:
- 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.
Basic Qualifications:
- Bachelor’s or Master’s degree in computer science, information systems, or technical field.
- 7 plus years of experience working as a data architect, data modelling or related roles in an organization with multiple stakeholders.
- 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.
- Advance knowledge of data integration techniques, data pipelines, and ETL processes.
- Comprehensive understanding of data governance, data security, and data management principles.
Preferred Skills:
- Familiarity with SAP data structures, including SAP HANA and SAP ERP systems.
- 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
- Experience working in agile framework, specially Scaled agile
- Ability to manage multiple stakeholders, leading a team and managing a moderate size budget
- 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.
Join our dynamic global team and contribute to building robust data architectures that empower our organization to make data-driven decisions. Apply now and be a part of our data-driven journey!
You’ll benefit from:
Siemens offers a variety of health and wellness benefits to employees. Details regarding our benefits can be found here: https://www.benefitsquickstart.com/siemens/index.html.
The pay range for this position is $88,340 – $151,440. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location.
Will 50% of New High Performance Computing (HPC) Chip Designs be Multi-Die in 2025?