About Atos Group
Atos Group is a global leader in digital transformation with approximately 63,000 employees and annual revenue of approximately €8 billion, operating in 61 countries under two brands: Atos for services and Eviden for products.
Atos Group is a European leader in cybersecurity, cloud and high performance computing, providing tailored AI-powered, end-to-end solutions for all industries and supporting a secure and decarbonized future.
Data Modeller: Job Description
Core Requirements
- 5+ years of experience in data modeling and data analysis, with excellent communication and leadership skills.
- Financial domain knowledge is a plus.
- Strong understanding of cloud data warehouses such as Snowflake and data modeling using Data Vault 2.0.
- Experience with Data Lakehouse concepts and big data sources and tools including Hive, S3, Trino and HUE.
- Experience in complex data modeling programs involving 100+ entities or tables across on-premises and cloud environments.
- Experience designing normalized, denormalized, relational, dimensional, star and snowflake schemas using tools such as Erwin, ER/Studio and Toad Data Modeler.
- Experience with big data and cloud databases including Hive, Redshift and Snowflake, as well as Oracle, SQL Server and DB2.
- Experience collaborating with product managers, project managers, business users, application developers, DBA teams and Data Governance teams to analyze requirements, design, develop and deploy technical solutions.
- Experience implementing Bill Inmon and Ralph Kimball methodologies to design data warehouses.
- Knowledge of data warehousing, data analysis, data profiling, Master Data Management, data quality, data lineage, data dictionaries, data mapping, data policy and data governance.
- Must have at least two hours of overlap with Pacific Time to interact with onsite teams and attend daily stand-up meetings.
Advanced Capabilities
- Hybrid Data Vault and dimensional modeling
- Semantic layer modeling, including metrics layer and headless BI
- Snowflake Cortex and AI integration in data models
- Medallion Architecture
- Trino query federation modeling
- Hive ACID table modeling
- Data lineage automation
- Erwin Data Intelligence Suite
- Trino and Iceberg
- Data Vault 2.0 with Snowflake performance tuning
- Hybrid Kimball and Data Vault implementation in cloud
- Large-scale enterprise modeling involving 1,000+ tables in cloud environments
- Ensemble Modeling and advanced Data Vault 2.0 patterns
- Golden Record Design
- Business glossary and technical metadata integration
- AI-ready data models
- Metadata-driven data modeling with Purview
At Atos, diversity and inclusion are embedded in our DNA. Atos is also recognized for its industry leadership across environmental, social and governance criteria.