At a Glance
- Tasks: Consult on data solutions, create architecture documents, and lead implementations.
- Company: EPAM is a global leader in digital platform engineering with a dynamic culture.
- Benefits: Enjoy perks like private medical insurance, gym discounts, and professional development opportunities.
- Why this job: Join a rapidly expanding company and tackle complex data challenges in an entrepreneurial environment.
- Qualifications: Bachelor's degree in Computer Science or related field; experience with Snowflake, Databricks, and cloud providers required.
- Other info: Ideal for tech enthusiasts eager to contribute to growth in Western Europe.
The predicted salary is between 43200 - 72000 £ per year.
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Description
About the Role
Are you an avid technologist who enjoys solving complex data and technical consulting challenges? Are you eager to thrive in an entrepreneurial environment as part of a rapidly expanding and successful global engineering company?
EPAM is seeking a Data Solutions Architect with a strong background in enterprise stacks, specializing in various platforms with a focus on back-end systems, high-load environments, analytics, and digitization. The ideal candidate will have comprehensive knowledge in Data Strategy, Management, Architecture, Governance, Technology Architecture, Data Product Lifecycle Management, and cross-industry experience, particularly in Pharma or Financial Services.
This role is ideal for those eager to contribute to our growth in Western Europe.
Responsibilities
- Consult with business colleagues to identify requirements and unmet needs that can be addressed through Data Solutions
- Create and present solution architecture documents with detailed technical information to clients and implementation teams
- Lead the implementation of solutions from establishing project requirements to deployment
- Stay updated on technical solutions, architecture design trends, and best practices in data technologies
- Participate in pre-sale activities to prepare technical proposals
- Contribute to Data and Big Data initiatives through partnerships, training, and campaigns
- Enhance expertise by monitoring project experiences across various business domains to drive EPAM's data business
Requirements
- Bachelor's degree in Computer Science, Engineering, or related field
- Extensive experience with Snowflake and/or Databricks
- Familiarity with Machine Learning and Large Language Models (LLM)
- Experience in building Data Warehouses and Data Lakes
- Expertise in Data Quality, Data Modeling, and Analytics
- Experience with at least one Cloud provider (AWS, Azure) and traditional Data Platforms
- Knowledge of high load and high throughput Data Platform architectures
- Hands-on experience with Python/Scala/Java and SQL development
- Experience with continuous delivery tools and technologies
- Knowledge of Serverless Designs, MPP Architectures, Containers, and Resource Management systems
- Ability to research, compare, and select appropriate tools and technologies
- Strong communication skills and team coordination experience
Our Benefits Include
- Group pension plan and protection benefits including life assurance and income protection
- Private medical and dental insurance
- Loans and schemes for cycles, tech, and season tickets
- Employee assistance program
- Opportunities for professional development, certifications, and well-being programs
- EPAM Employee Stock Purchase Plan (ESPP)
- Perks such as gym discounts, free lunches, massages, and social events
About EPAM
- EPAM is a global leader in digital platform engineering and development services. We foster a dynamic and inclusive culture, collaborating with multinational teams on innovative projects. Join us to explore your potential and grow professionally.
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Data Solution Architect (London) employer: EPAM
Contact Detail:
EPAM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Solution Architect (London)
✨Tip Number 1
Familiarise yourself with the latest trends in data architecture and technologies, especially focusing on platforms like Snowflake and Databricks. This knowledge will not only help you during interviews but also demonstrate your commitment to staying current in a rapidly evolving field.
✨Tip Number 2
Network with professionals in the data solutions space, particularly those who have experience in Pharma or Financial Services. Engaging with industry peers can provide valuable insights and potentially lead to referrals that could enhance your chances of landing the job.
✨Tip Number 3
Prepare to discuss real-world examples of how you've implemented data solutions in high-load environments. Being able to articulate your hands-on experience with Python, SQL, and cloud providers will set you apart from other candidates.
✨Tip Number 4
Showcase your communication skills by practising how to present complex technical information clearly and concisely. This is crucial for the role, as you'll need to convey solutions to both technical teams and business stakeholders effectively.
We think you need these skills to ace Data Solution Architect (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data architecture, particularly with technologies like Snowflake and Databricks. Emphasise your familiarity with Machine Learning and your experience in building Data Warehouses and Data Lakes.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with the responsibilities listed, such as consulting with business colleagues and leading implementation projects.
Showcase Technical Skills: Clearly outline your technical skills in Python, Scala, Java, and SQL development. Mention any experience with cloud providers like AWS or Azure, and highlight your knowledge of high-load data platform architectures.
Prepare for Potential Interviews: Anticipate questions related to your experience with data solutions and architecture design trends. Be ready to discuss specific projects where you contributed to data initiatives and how you stay updated on industry best practices.
How to prepare for a job interview at EPAM
✨Showcase Your Technical Expertise
Make sure to highlight your experience with Snowflake, Databricks, and any relevant cloud platforms like AWS or Azure. Be prepared to discuss specific projects where you've implemented data solutions, focusing on the technical challenges you faced and how you overcame them.
✨Demonstrate Problem-Solving Skills
EPAM values candidates who can tackle complex data challenges. Prepare examples of how you've identified business needs and developed data strategies to address them. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Communicate Clearly and Effectively
Strong communication skills are essential for this role. Practice explaining technical concepts in a way that non-technical stakeholders can understand. During the interview, ensure you articulate your thoughts clearly and engage with your interviewers.
✨Stay Updated on Industry Trends
Show your enthusiasm for the field by discussing recent trends in data architecture and technologies. Mention any relevant articles, webinars, or conferences you've attended. This demonstrates your commitment to continuous learning and staying ahead in the industry.