채용

EY - GDS Consulting - AI And DATA - Databricks Solution Architect - Associate Director
·
On-site
·
Full-time
·
1mo ago
필수 스킬
Python
SQL
Go
Spark
Machine Learning
At EY, we’re all in to shape your future with confidence.
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.
Join EY and help to build a better working world.
**EY- GDS -**Data and Analytics–Associate Director –**Databricks Solution 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 18+ years with strong architect expertise into Databricks Solution Architect and delivery lead
Role Purpose
The Databricks Solution Architect is responsible for designing, implementing, and governing scalable data, analytics, and AI/ML solutions using the Databricks Lakehouse platform. This role ensures alignment between business requirements and technical architecture while enabling high-performance, secure, cost-optimized data and machine learning platforms across cloud environments.
Key Responsibilities
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Design end-to-end Databricks Lakehouse architectures including ingestion, processing, analytics, and AI/ML workloads.
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Architect batch and streaming data pipelines using Apache Spark, Delta Lake, and Databricks Workflows.
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Design and govern ML lifecycle workflows using MLflow, Feature Store, Model Registry, and Model Serving.
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Enable production-grade AI/ML pipelines including training, experiment tracking, deployment, and monitoring.
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Define platform standards, architectural patterns, and best practices for data and AI workloads.
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Optimize cluster configurations, job performance, ML training workloads, and cost management strategies.
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Implement data governance, security, lineage, and access controls using Unity Catalog and cloud IAM.
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Collaborate with data scientists, ML engineers, data engineers, and business stakeholders to translate AI use cases into scalable solutions.
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Support CI/CD pipelines for data and ML workflows including automated testing and model deployment.
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Provide technical leadership, architectural reviews, and solution guidance across delivery teams.
Required Skills & Experience
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Strong hands-on experience with Databricks platform components including Delta Lake, Unity Catalog, SQL Warehouses, MLflow, Feature Store, and Model Serving.
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Expertise in Apache Spark, Py Spark, Spark SQL, and distributed processing for analytics and ML workloads.
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Experience building and operationalizing machine learning pipelines on Databricks.
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Proficiency in Python and SQL with strong performance tuning and data modeling skills.
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Experience with cloud platforms (AWS, Azure, or GCP) including storage, compute, networking, and security services.
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Knowledge of MLOps practices such as experiment tracking, model versioning, CI/CD for ML, and model monitoring.
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Understanding of AI/ML frameworks (such as scikit-learn, Tensor Flow, Py Torch) and their integration with Databricks.
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Experience designing enterprise-scale data and AI architectures.
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Strong communication, stakeholder management, and technical leadership skills.
Nice to Have
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Experience with autonomous systems, reinforcement learning, or AI copilots
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Industry exposure across BFSI, Manufacturing, Healthcare, Retail, or Telecom
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:
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Support, coaching and feedback from some of the most engaging colleagues around
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Opportunities to develop new skills and progress your career
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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.
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EY 소개

EY
PublicEY, 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+
직원 수
London
본사 위치
리뷰
3.4
10개 리뷰
워라밸
2.3
보상
3.7
문화
4.1
커리어
3.8
경영진
3.2
65%
친구에게 추천
장점
Good learning opportunities and career advancement
Supportive culture and kind people
Professional environment and good benefits
단점
Long working hours and poor work-life balance
Hectic and taxing work environment
Limited support for interns and technical growth
연봉 정보
31,254개 데이터
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주식
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$5,673
$100,128
$203,912
면접 경험
7개 면접
난이도
3.0
/ 5
소요 기간
14-28주
합격률
57%
면접 과정
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
Technical/Case Interview
5
Partner/Director Interview
6
Offer
자주 나오는 질문
Behavioral/STAR
Case Study
Technical Knowledge
Past Experience
Culture Fit
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