热门公司

招聘

职位EY

EY - GDS Consulting - AI and DATA - Snowflake architect - Cortex and AI - Manager

EY

EY - GDS Consulting - AI and DATA - Snowflake architect - Cortex and AI - Manager

EY

·

On-site

·

Full-time

·

1w ago

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

Job Description – AI & Data

  • Snowflake architect
  • Cortex & AI - Manager

Experience: 10+ years

Overview

We are seeking a seasoned Manager to lead solution demonstrations and build Proofs of Concept (Po Cs) leveraging Snowflake, Cortex, and GenAI-driven solutions. The role involves owning technical storytelling through Po Vs/Po Cs, mentoring teams, and working closely with stakeholders to showcase Snowflake capabilities across industry use cases.

Key Roles & Responsibilities

  • Lead and deliver end-to-end solution demos and Po Cs using Snowflake, Snowflake Cortex, and related GenAI capabilities

  • Design and author PoV/PoC assets showcasing Snowflake features and industry-specific use cases

  • Translate business problems into scalable technical architectures and demo-ready solutions

  • Act as a technical SME for Snowflake and associated data/AI platforms during client discussions and internal forums

  • Collaborate with engineering, data science, and architecture teams to build innovative solutions

  • Mentor and guide junior engineers and solution architects on best practices

  • Contribute to solution accelerators, reusable frameworks, and demo repositories

  • Support pre-sales, client workshops, and technical presentations when required

Mandatory Skills

  • Snowflake – hands-on experience with at least one end-to-end project

  • Apache Spark (Py Spark/SQL)

  • Strong communication and stakeholder management skills

  • Proven ability to explain complex technical concepts to non-technical audiences

Desired / Good-to-Have Skills

  • GenAI concepts, including Prompt Engineering

  • Experience with Streaming technologies

  • Exposure to DevOps / MLOps practices

  • UI & API development using Streamlit, React / Angular, FastAPI

  • Familiarity with modern data architectures and cloud-native solutions

Leadership Expectations

  • Demonstrated experience leading technical teams or solution initiatives

  • Ability to drive innovation, quality, and delivery excellence

  • Strong ownership mindset with a balance of hands-on and strategic thinking

Education

  • Bachelor’s or master’s degree in computer science, Information Systems, Data Engineering, or related field

EY | Building a better working world

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

总浏览量

0

申请点击数

0

模拟申请者数

0

收藏

0

关于EY

EY

EY

Public

EY, previously known as Ernst & Young, is a British multinational professional services network based in London, United Kingdom. Along with Deloitte, KPMG and PwC, it is one of the Big Four professional services firms.

10,001+

员工数

London

总部位置

评价

3.4

10条评价

工作生活平衡

2.3

薪酬

3.7

企业文化

4.1

职业发展

3.8

管理层

3.2

65%

推荐给朋友

优点

Good learning opportunities and career advancement

Supportive culture and kind people

Professional environment and good benefits

缺点

Long working hours and poor work-life balance

Hectic and taxing work environment

Limited support for interns and technical growth

薪资范围

31,254个数据点

Mid/L4

Mid/L4 · Operations Research Analyst

1,738份报告

$142,571

年薪总额

基本工资

$136,899

股票

-

奖金

$5,673

$100,128

$203,912

面试经验

7次面试

难度

3.0

/ 5

时长

14-28周

录用率

57%

面试流程

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

Technical/Case Interview

5

Partner/Director Interview

6

Offer

常见问题

Behavioral/STAR

Case Study

Technical Knowledge

Past Experience

Culture Fit