EY - GDS Consulting - AI and DATA - Snowflake Architect - Senior Manager
EY · Bengaluru, Karnataka, India
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- On site
- Full-time
- $200,000 / year
- Bengaluru, Karnataka, India
Job highlights
- Lead Snowflake, Cortex, GenAI solution design and delivery.
- Build PoCs demonstrating advanced data and AI capabilities.
- Develop reusable accelerators and demo frameworks.
- Mentor engineers on Snowflake and emerging technologies.
- Shape future client solutions with data and technology.
About the role
EY- GDS - Data and Analytics – Senior Manager – Snowflake Solutions Architect
As part of our EY-GDS D&A (Data and Analytics) team, we help our clients solve complex business challenges with the help of data and technology. We dive deep into data to extract the greatest value and discover opportunities in key business and functions like Banking, Insurance, Manufacturing, Healthcare, Retail, Manufacturing and Auto, Supply Chain, and Finance.
The opportunity
We’re looking for a candidate with 14+ years with strong architect expertise into Snowflake Solutions Architect and delivery lead.
Role Purpose:
Lead the design, development, and delivery of high-impact Proof of Concepts (PoCs) and Proof of Value (PoVs) focused on Snowflake, Snowflake Cortex, and GenAI-driven data solutions. Act as a technical solution owner responsible for showcasing platform capabilities, validating architecture feasibility, and demonstrating business value through working prototypes. Drive innovation by building reusable accelerators, demo frameworks, and reference implementations for Snowflake and industry-specific use cases. Enable rapid experimentation and adoption of modern data and AI platforms through hands-on engineering leadership.
Key Responsibilities
- Lead end-to-end design and implementation of PoCs and PoVs using Snowflake and related ecosystem tools.
- Build working prototypes demonstrating Snowflake Cortex, GenAI capabilities, advanced analytics, and modern data architectures.
- Develop solution blueprints, architecture diagrams, technical documentation, and PoC implementation guides.
- Author reusable PoV frameworks, demo assets, code templates, and automation scripts.
- Implement Snowflake features such as Snowpark, Streams, Tasks, Dynamic Tables, and Native App capabilities as part of solution demonstrations.
- Design and optimize data pipelines using Snowflake and Spark-based processing frameworks.
- Build AI-powered PoCs including intelligent search, conversational analytics, semantic data exploration, and recommendation use cases.
- Integrate Snowflake with cloud platforms, external data sources, APIs, and enterprise systems.
- Implement real-time and near real-time ingestion patterns for streaming-based PoC use cases.
- Establish DevOps and automation practices for PoC environments including CI/CD pipelines and deployment workflows.
- Develop data-driven applications and dashboards using Streamlit and UI frameworks where required.
- Build backend services and APIs using FastAPI or REST-based frameworks to support solution architectures.
- Ensure PoC solutions follow performance optimization, cost efficiency, security best practices, and scalability guidelines.
- Collaborate with internal engineering teams to transfer PoC learnings into production-ready patterns.
- Mentor solution engineers and architects on Snowflake best practices and emerging technologies.
- Stay current with Snowflake roadmap, Cortex enhancements, and GenAI ecosystem advancements.
Required Skills & Experience
Mandatory
- Strong hands-on experience with Snowflake (minimum 2+ production project implementations).
- Expertise in Apache Spark / PySpark for large-scale data processing and transformation.
- Proven experience in building end-to-end PoCs and PoVs for data platform and analytics solutions.
- Solid understanding of cloud data architectures and modern analytics platforms.
- Strong coding and debugging skills across SQL and Python-based workloads.
- Excellent technical communication and documentation skills.
- Ability to independently own and deliver complex solution prototypes.
Desired / Preferred
- Experience with GenAI platforms, Snowflake Cortex, LLM integration, vector search, and AI-powered analytics.
- Exposure to streaming platforms and real-time ingestion frameworks (Kafka, Event Hubs, Kinesis).
- Hands-on experience with DevOps and MLOps tools and practices including CI/CD pipelines and automation.
- Experience developing interactive applications using Streamlit.
- Frontend exposure using React or Angular for solution UI layers.
- Backend development experience using FastAPI or REST-based microservices.
Nice to Have
- Industry experience in Manufacturing, Energy, Smart Cities, Automotive, or Logistics
- Exposure to reinforcement learning or synthetic data generation
Ideally, you’ll also have
- Client management skills
What We Look For
People with technical experience and enthusiasm to learn new things in this fast-moving environment.
What Working At EY Offers
At EY, we’re dedicated to helping our clients, from start-ups to Fortune 500 companies — and the work we do with them is as varied as they are.
You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:
- Support, coaching and feedback from some of the most engaging colleagues around
- Opportunities to develop new skills and progress your career
- The freedom and flexibility to handle your role in a way that’s right for you
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
Key skills/competency
- Snowflake Solutions Architect
- Data Architecture
- Proof of Concept (PoC)
- Proof of Value (PoV)
- GenAI
- Machine Learning
- Data Engineering
- Cloud Platforms
- Apache Spark
- Python
Skills & topics
- Snowflake Architect
- Senior Manager
- Data Architecture
- Cloud Data
- Data Engineering
- GenAI
- Snowflake Cortex
- Apache Spark
- Python
- Proof of Concept
How to get hired
- Tailor your resume: Highlight your 14+ years of Snowflake, Spark, and GenAI experience. Quantify achievements in PoCs/PoVs.
- Showcase technical depth: Emphasize SQL, Python, Snowpark, and cloud data architecture expertise in your application.
- Prepare for technical interviews: Be ready to discuss Snowflake features, data pipelines, and GenAI integrations.
- Demonstrate leadership: Highlight experience mentoring teams and owning complex solution deliveries.
- Understand EY's culture: Research their focus on building a better working world and client impact.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the key responsibilities for a Senior Manager, Snowflake Solutions Architect at EY?
- As a Senior Manager, Snowflake Solutions Architect at EY, you will lead the design, development, and delivery of Proof of Concepts (PoCs) and Proof of Values (PoVs) leveraging Snowflake, Snowflake Cortex, and GenAI. You'll act as a technical owner, building prototypes, developing solution blueprints, and mentoring other engineers on best practices in modern data and AI platforms.
- What specific technical skills are mandatory for this Senior Manager role at EY?
- Mandatory skills include strong hands-on experience with Snowflake (minimum 2 production project implementations), expertise in Apache Spark/PySpark for data processing, proven experience in building end-to-end PoCs/PoVs for data platforms, solid understanding of cloud data architectures, and strong coding/debugging skills in SQL and Python.
- Does EY offer opportunities for professional development in this Snowflake Architect role?
- Yes, EY emphasizes education and coaching alongside practical experience. You will have opportunities to develop new skills, progress your career with an individual progression plan, and work in an interdisciplinary environment with high quality and knowledge exchange.
- What kind of projects can I expect to work on as a Senior Manager, Snowflake Solutions Architect at EY?
- You will work on inspiring and meaningful projects for a variety of clients, from startups to Fortune 500 companies. These projects will involve solving complex business challenges using data and technology, with a focus on Snowflake, GenAI, and modern data architectures.
- How important is experience with GenAI and related technologies for this EY role?
- Experience with GenAI platforms, Snowflake Cortex, LLM integration, vector search, and AI-powered analytics is highly desired. This indicates EY's focus on leveraging cutting-edge AI technologies to deliver innovative solutions for clients.
- What is the expected level of client interaction for a Senior Manager, Snowflake Solutions Architect at EY?
- While the job description emphasizes technical leadership and PoC/PoV delivery, client management skills are listed as 'ideally you'll also have.' This suggests that client interaction and management will be a component of the role, especially at the Senior Manager level.
- Can you provide details on the work arrangement for the Senior Manager, Snowflake Solutions Architect position at EY?