
EY, previously known as Ernst & Young, is a British multinational professional services network based in London, United Kingdom
EY - GDS Consulting - AI And DATA - Cloud Architect - Senior Manager
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 Consulting - AI And DATA - Cloud Architect - Senior Manager
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 across Banking, Insurance, Manufacturing, Healthcare, Retail, Manufacturing and Auto, Supply Chain, and Finance.
The opportunity
We're looking for Senior Managers (GTM + Cloud / Big Data Architects) with strong technology and data understanding and proven delivery capability in delivery and pre-sales.
Your key responsibilities
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Drive Analytics GTM and pre-sales activities including pipeline building, RFP responses, solution creation, workshops, and managing in-flight projects
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Convert business problems into secure, scalable, and high-performance technical solutions
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Understand current and future-state enterprise architecture
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Contribute across technical streams during project implementation
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Provide product- and design-level technical best practices
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Engage senior client technology leaders to architect and deliver solutions
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Define client-specific best practices for data management in Hadoop or cloud environments
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Recommend design alternatives for data ingestion, processing, and provisioning
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Design and develop batch data ingestion using Hive, Pig, Sqoop, Spark
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Develop real-time ingestion using Kafka, Spark Streaming
Skills and attributes for success
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Architecting highly scalable solutions on Azure, AWS, and GCP
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Strong knowledge of cloud and big data ecosystems
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Deep understanding of distributed computing paradigms
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Hands-on experience with Apache Spark (Python/Scala) and Spark Streaming
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Experience with cloud ETLs, Spark, Databricks
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Experience with NoSQL databases (HBase, Cassandra, MongoDB)
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Kafka and Spark integration expertise
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Strong Hadoop ecosystem knowledge
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Experience with Apache Kafka and Flume
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Enterprise-grade solution implementation experience
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Performance benchmarking experience
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Data security knowledge (in motion and at rest)
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Strong UNIX and shell scripting skills
To qualify for the role, you must have
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Flexible, proactive, self-motivated work style
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Excellent written and verbal communication skills
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Ability to multitask and work independently
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Strong consulting and client-facing skills
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Experience across the full big data solution lifecycle
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Risk evaluation and mitigation experience
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Working knowledge of AWS, Azure, or GCP
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Minimum 7 years of hands-on experience in relevant areas
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Minimum 10 years of overall industry experience
Ideally, you'll also have
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Strong project management skills
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Client management skills
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Solutioning and presales leadership skills
What we look for
- Technically strong professionals with a passion for learning
What working at EY offers
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Meaningful and challenging projects
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Continuous learning, coaching, and career development
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Flexibility and autonomy
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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关于EY

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+
员工数
London
总部位置
评价
2条评价
2.7
2条评价
工作生活平衡
2.0
薪酬
3.0
企业文化
2.2
职业发展
3.5
管理层
1.8
25%
推荐率
优点
Opportunity to become top performer
Handle large accounts
High responsibility roles
缺点
Long hours and intense work pressure
Poor management and leadership
Burnout issues
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
面试评价
7条评价
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
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