Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Target Resume Now
About the Role
As an AWS/Azure Cloud Services & Snowflake Data Platform Consultant, you will help clients solve complex business challenges using data-driven technologies. You will develop modern data platforms and unlock value in key business areas such as Supply Chain, Operations, Procurement, and Finance.
Responsibilities
- Lead and guide teams of data experts, providing technical direction, fostering their development, and ensuring high-quality service delivery.
- Design, implement, and optimize scalable data solutions using AWS/Azure cloud services and the Snowflake Data Platform, developing robust data models for analytics and reporting.
- Manage the integration of diverse data sources into Snowflake and oversee data preparation processes according to best practices for cleansing, enrichment, and transformation.
- Collaborate closely with interdisciplinary teams to translate business requirements into secure, scalable, and high-performing technical solutions, including demonstrations, prototypes, and Proofs of Concept (PoCs).
- Establish and ensure the sustainable implementation of data governance, quality, security, and compliance standards. Monitor cloud infrastructure for performance, cost-efficiency, and operational stability.
Requirements
- Completed degree in Computer Science, Business Informatics, or a comparable field of study.
- Extensive professional experience in building and operating modern data platforms.
- Several years of practical experience with AWS or Azure cloud services and the Snowflake Data Platform.
- Sound understanding of cloud architectures, data warehousing, distributed computing, and data integration.
- Practical experience with relevant cloud services such as ADF or Glue, Lambda, ADLS or S3, SNS, OneLake, and EventBridge.
- Proficient in SQL and scripting with Python or Bash.
- In-depth expertise in Snowflake, particularly in data modeling and data governance.
- Fluent communication in German and English (minimum C1 level for both).
Skills
- AWS Cloud Services
- Azure Cloud Services
- Snowflake Data Platform
- Data Modeling
- Data Governance
- Cloud Architectures
- Data Warehousing
- Distributed Computing
- Data Integration
- ADF
- Glue
- Lambda
- ADLS
- S3
- SNS
- OneLake
- EventBridge
- SQL
- Python Scripting
- Bash Scripting
Location
- Germany
Work Type
- Full-time
Experience Level
- Senior
Education Level
- Bachelor's Degree
- Master's Degree
Benefits
- Work in high-performing, interdisciplinary teams with innovative technologies.
- Flexible and inclusive work environment.
- Support for different life situations.
- Inspiring colleagues.
- Training and development opportunities on and off the job.
- Steep learning curve.
About the Company
- EY is committed to making the world a little better every day.
- Our global network of approximately 400,000 employees worldwide offers opportunities for growth, development, specialization, and pursuing professional strengths and interests.
- We believe that the right career path is as individual as you are.
Equal Opportunity
- EY embraces diversity and welcomes all applications.
- Please inform us in advance if we can support you with an accessible application process.