Snowflake AI Data Engineer

• The Snowflake AI Data Engineer / Lead serves as the onsite technical lead, driving Snowflake-native AI, GenAI, and advanced data engineering on AWS Cloud.
• This role requires deep expertise in Snowflake, Cortex AI, Snowpark (Python), and Talend ETL, with ownership of delivering AI/ML and LLM-powered solutions directly within the Snowflake ecosystem, while coordinating with offshore teams., * Designing and implementing Cortex-driven AI solutions using LLM capabilities (COMPLETE, CHAT, SUMMARIZE), embeddings (EMBED_TEXT), vector search, and RAG architectures, enabling AI copilots, semantic search, and intelligent analytics on enterprise data. Ownership of Snowflake platform architecture (schemas, views, streams, tasks, Snowpipes) is required, along with enforcing performance optimization best practices (warehouse sizing, clustering, query tuning) and implementing secure data access using RBAC, masking, and row/column-level controls.
• The role includes leading data engineering and integration pipelines (batch and near real-time) using Talend, Qlik Replicate, and Snowpipe, ensuring data quality, reconciliation, and schema evolution, and enabling ingestion from diverse source systems. Guiding SQL, Python, and ELT transformations, and enabling AI/ML workflows using Snowpark and integration with platforms such as Databricks, SageMaker, and Azure ML.
• Additional responsibilities include delivering AI-driven use cases such as claims triage, fraud detection, risk scoring, premium leakage, and pricing analytics, leveraging Snowflake-native AI capabilities and Python-based data science frameworks, and supporting CI/CD-driven deployments and automation.

• Strong experience in Snowflake, Cortex AI, Snowpark (Python), Talend ETL, and AWS Cloud
• Hands-on expertise in LLMs, embeddings, vector search, and RAG architectures within Snowflake
• Proven leadership in Snowflake architecture, performance optimization, and scalable data platforms
• Deep experience in data engineering, ELT pipelines, and real-time/batch data integration
• Experience enabling AI/ML workloads and feature engineering within Snowflake environments
• Strong knowledge of data security frameworks (RBAC, masking, row/column-level controls)
• Domain experience in insurance or financial services
• Advanced proficiency in SQL and Python, with ability to lead engineering teams

Pulled from the full job description

• Paid parental leave
• Parental leave
• 401(k)
• Health insurance
• Paid time off
• Vision insurance
• Dental insurance, Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
• Flexible work
• Healthcare including dental, vision, mental health, and well-being programs
• Financial well-being programs such as 401(k) and Employee Share Ownership Plan
• Paid time off and paid holidays
• Paid parental leave
• Family building benefits like adoption assistance, surrogacy, and cryopreservation
• Social well-being benefits like subsidized back-up child/elder care and tutoring
• Mentoring, coaching and learning programs
• Employee Resource Groups
• Disaster Relief, Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $103330 to $128656 /yearly. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company’s sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

ctively to drive business outcomes.

The base compensation range for this role in the posted location is: $103330 to $128656

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.