TECHNICAL ARCHITECT

About Atos

Atos is a global leader in digital transformation with c. 78,000 employees and annual revenue of c. € 10 billion. European number one in cybersecurity, cloud and high-performance computing, the Group provides tailored end-to-end solutions for all industries in 68 countries. A pioneer in decarbonization services and products, Atos is committed to a secure and decarbonized digital for its clients. Atos is a SE (Societas Europaea) and listed on Euronext Paris.

The purpose of Atos 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.

Role Overview:-

The Senior Tech Lead - Snowflake leads the design, development, and optimization of  advanced data warehousing solutions. The jobholder has extensive experience with Snowflake, data architecture, and team leadership, with a proven ability to deliver scalable and secure data systems.

Responsibilities:-

• Lead the design and implementation of Snowflake-based data architectures and pipelines.
• Provide technical leadership and mentorship to a team of data engineers.
• Collaborate with stakeholders to define project requirements and ensure alignment with business goals.
• Ensure best practices in data security, governance, and compliance.
• Troubleshoot and resolve complex technical issues in Snowflake environments.
• Stay updated on the latest Snowflake technologies and industry trends.

Key Technical Skills & Responsibilities

• Minimum  7 + years of experience of designing and developing data warehouse / big data applications
• Must be able to lead data product development using Streamlit and Cortex
• Deep understanding of relational as well as NoSQL data stores, data modeling methods and approaches (star and snowflake, dimensional modeling)  Good communication skill.
• Must have experience of solution architecture using Snowflake
• Must have experience of working with Snowflake data platform, it’s utilities (SnowSQL, SnowPipe etc) and it’s features (time travel, support to semi-structured data etc) 
• Must have experience of migrating on premise data warehouse to Snowflake cloud data platform
• Must have experience of working with any cloud platform, AWS | Azure | GCP Experience of developing accelerators (using Python, Java etc) to expedite the migration to Snowflake 
• Must be good with Python and PySpark (including Snowpark) for data pipeline building.
• Must have expereince of working with streaming data sources and Kafka.
• Extensive experience of developing ANSI SQL queries and Snowflake compatible stored procedures
•  Snowflake certification is preferred

Eligibility Criteria:

• Bachelor’s degree in Computer Science, Data Engineering, or a related field.
• Extensive experience with Snowflake, SQL, and data modeling.
• Snowflake certification (e.g., SnowPro Core Certification).
• Experience with cloud platforms like AWS, Azure, or GCP.
• Strong understanding of ETL/ELT processes and cloud integration.
• Proven leadership experience in managing technical teams.
• Excellent problem-solving and communication skills.

Our Offering:

• Global cutting-edge IT projects that shape the future of digital and have a positive impact on environment.
• Wellbeing programs & work-life balance - integration and passion sharing events.
• Attractive Salary and Company Initiative Benefits
• Courses and conferences.
• Attractive Salary.
• Hybrid work culture.