About Atos Group

Atos Group is a global leader in digital transformation with c. 63,000 employees and annual revenue of c. €8 billion, operating in 61 countries under two brands — Atos for services and Eviden for products. European number one in cybersecurity, cloud and high performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is the brand under which Atos SE (Societas Europaea) operates. Atos SE is listed on Euronext Paris.

The purpose of Atos Group is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.

Data Modeller: Job Description

Core Requirements

• 5+ years of experience in Data Modeling & Data Analysis, with excellent communication and leadership skills.

• Financial domain knowledge is a plus.

• Strong understanding of cloud data warehouses like Snowflake and data modeling skills using Data Vault 2.0.

• In-depth understanding or execution of new concepts like Data Lakehouse, with experience in big data sources/tools such as Hive, S3, Trino, HUE.

• Proven experience in complex (100+ entities/tables) data modeling programs in both on-premises and cloud environments.

• Skilled in designing normalized, denormalized, relational, dimensional, star, and snowflake schemas for cloud, big data, and on-prem databases using tools such as Erwin, ER/Studio, Toad Data Modeler.

• Extensive data modeling experience in big data and cloud databases such as Hive, Redshift, Snowflake, and on-prem databases such as Oracle, SQL Server, 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.

• Implemented Bill Inmon and Ralph Kimball methodologies to design data warehouses.

• In-depth understanding of Data Warehousing, Data Analysis, Data Profiling, Master Data Management (MDM), Data Quality, Data Lineage, Data Dictionary, Data Mapping, Data Policy, and Data Governance.

• Must have at least 2 hours overlap with Pacific Time to interact with onsite teams and attend daily standup meetings.

Advanced Capabilities

• Hybrid Data Vault + Dimensional Modeling

• Semantic Layer Modeling (Metrics Layer / Headless BI)

• Snowflake Cortex / AI integration in data models

• Medallion Architecture

• Trino Query Federation Modeling

• Hive ACID table modeling

• Data Lineage Automation

• Erwin Data Intelligence Suite

• Trino + Iceberg

• Data Vault 2.0 with Snowflake performance tuning

• Hybrid Kimball + Data Vault implementation in cloud

• Large-scale (1000+ tables) enterprise modeling in cloud

• Ensemble Modeling (Data Vault 2.0 advanced patterns)

• Golden Record Design

• Business Glossary + Technical Metadata Integration

• AI-ready Data Models

• Metadata-driven data modeling with Purview

Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all.

Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment. 

Choose your future. Choose Atos.