채용
필수 스킬
Python
SQL
AWS
Azure
Scala
Machine Learning
AI & Data GTM Solution Architect
Location: Katowice - 2 days in office / 3 days remote
Let us introduce you the job offer by EY GDS Poland – a member of the global integrated service delivery center network by EY.
The opportunity
We are looking for a top-notch technology savvy specialists willing to move our projects on the new track! You will use the most advanced technology stack and have an opportunity to implement new solutions while working with top leaders in their industries. You will be part of our global team and you will participate in international projects.
Your key responsibilities
As an AI & Data GTM Solution Architectyou will be responsible for designing of solution architecture for organization in a cloud.
The opportunity
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Serve as a key GTM Solution Architect, focusing on pre-sales solutioning (responding to RFPs / tenders) and the successful delivery of cloud data and AI solutions for client opportunities when needed.
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Collaborate closely with sales/account teams to understand client requirements, articulate the value of our cloud data and AI solutions, and tailor offerings to meet specific business needs. Act as GTM Solution Architect for pre-sales and delivery of cloud data and AI solutions.
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Engage in client meetings to refine solutions and present ROI-driven business cases.
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Develop GTM strategies aligned with client objectives and AI/data analytics best practices.
Skills and attributes for success
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Extensive knowledge of designing, developing, and debugging cloud-based data and AI solutions, with a focus on client-centric outcomes.
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Strong programming background with excellent technical skills in designing, coding, testing, and delivering secure, scalable, and reliable applications.
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Proficiency in cloud platforms, particularly Azure and AWS, and experience with Databricks for data processing and analytics, as well as AI Services (e.g., MS Copilot, AWS Sagemaker).
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Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders and clients.
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Experience in developing business cases, ROI analyses, and solution proposals that resonate with client needs, particularly in the context of AI and machine learning.
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Cloud Architect certifications (e.g., Azure, Databricks, Snowflake, AWS, Palantir)
To qualify for the role, you must have
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Bachelor's Degree in Computer Science, Engineering, IT, Mathematics, or a related field preferred.
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8+ years of experience in software development with a focus on cloud data architecture, AI solutions, and analytics, particularly in a pre-sales and delivery context.
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Past strong development skills in relevant programming languages (e.g., Python, SQL, Scala) and cloud services (e.g., Azure Data Factory, Databricks, AWS Glue, SQL DB, Snowflake, Synapse).
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Knowledge of data governance, security, and compliance best practices in cloud environments.
Ideally, you’ll also have
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Strong analytical and problem-solving skills, with experience in solution design and architecture tailored for client engagements.
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Ability to provide technical leadership and mentorship to team members, promoting high standards of software quality.
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Proven track record in pre-sales activities, including client engagement, solution scoping, and proposal development, as well as successful project delivery.
What we look for
A self-starter, independent thinker, curious and creative individual with ambition and a passion for cloud technologies, data architecture, and AI solutions, who excels in engaging with clients and driving tailored business solutions.
What we offer
EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across nine locations – Argentina, Hungary, India, the Philippines, Poland, Sri Lanka, Mexico, Spain and the United Kingdom – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.
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Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
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Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
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Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
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Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.
About EY
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.
If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
The exceptional EY experience. It’s yours to build.
In compliance with the requirements of the Whistleblower Protection Act, our company has established the Procedure for reporting breaches of law and undertaking appropriate follow-up actions. Any misconduct should be reported through the EY Ethics Hotline.
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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
Mid/L4
Mid/L4 · Operations Research Analyst
1,738개 리포트
$142,571
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기본급
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주식
-
보너스
$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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