Lead Data Engineer - Snowflake

We are seeking an experienced Senior Snowflake Data & AI Platform Engineer to design, build, and optimize enterprise-scale Data & AI platforms on Snowflake. The ideal candidate will possess deep expertise in modern data architecture, Medallion data modeling, data engineering, AI/ML enablement, governance, and cloud-native platform development. This role will be instrumental in delivering scalable, secure, and business-centric data products while leveraging Snowflake’s latest AI, analytics, and governance capabilities., * Design and implement enterprise-wide Unified Data & AI Platforms leveraging Snowflake.

• Architect and develop scalable Medallion Layer (Bronze, Silver, Gold) data models and frameworks.
• Build and maintain high-performance ELT pipelines utilizing:
• Snowflake Dynamic Tables
• dbt
• Tasks & Stored Procedures
• Snowpipe
• Snowflake Openflow Connect
• Develop AI-powered solutions using the Snowflake Cortex ecosystem, including:

*

• Cortex Analyst
• Cortex Search
• Cortex Agents
• Snowpark ML
• Python
• Streamlit
• MLOps frameworks
• Design and implement secure, governed data environments using Snowflake Horizon.
• Establish and maintain Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC) frameworks.
• Collaborate with business and technology teams to develop customer-centric and domain-oriented data products.Implement CI/CD processes and Git-integrated development workflows.
• Monitor, optimize, and improve platform performance, scalability, and cost efficiency.
• Partner with architects, data scientists, analysts, and business stakeholders to deliver data-driven solutions.
• Ensure adherence to security, governance, compliance, and data quality standards., + Snowflake Dynamic Tables
• dbt
• Snowpipe
• Tasks
• Stored Procedures
• Openflow Connect
• Hands-on experience with Snowflake AI and ML capabilities:
• Cortex Analyst
• Cortex Search
• Cortex Agents
• Snowpark ML
• Streamlit
• Python
• MLOps practices
• Strong understanding of Snowflake security, governance, and data management capabilities, including Horizon.
• Experience implementing RBAC and ABAC security models.
• Experience with Git-based source control and modern ELT frameworks.Strong cloud platform experience with AWS.
• Excellent communication, stakeholder management, and problem-solving skills.

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field.7+ years of experience in Data Engineering, Data Architecture, or Analytics Engineering.
• Strong hands-on experience designing and implementing data platforms on Snowflake.
• Proven expertise in:
• Unified Data & AI platform architecture
• Medallion architecture implementation
• ELT/ETL pipeline development
• Data warehousing and data lake concepts
• Deep experience with

The base compensation range for this role in the posted location is: $165,000 - $190,000.

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world., Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.