Big Data Architect

Big Data Architect

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and implement Big Data solutions tailored to customer needs.
  • Company: Join a forward-thinking company at the forefront of data innovation.
  • Benefits: Enjoy remote work flexibility and a dynamic work environment.
  • Why this job: Be part of a tech-savvy team making impactful data-driven decisions.
  • Qualifications: 3+ years in presales and 5+ years in Big Data projects required.
  • Other info: Contract length is 1 year, with potential on-site work in Madrid.

The predicted salary is between 43200 - 72000 £ per year.

For this role, you will be responsible for providing the framework that appropriately replicates the Big Data needs of a company utilizing data.

Essential requirements:

  • More than 3 years of presales experience in the design of Big Data and Data analytics solutions according to customer requirements
  • Previous experience with the preparation of high-quality engaging customer presentations, excellent communication skills, experience in conversations at CxO level, ability to adapt the message to the customer feedback, etc.
  • Experience in preparation answering RFPs: organize the offer solution team, solution definition, effort and cost estimation,
  • Past experience in dealing with partners, tools vendors, etc.
  • Business Domain Knowledge
  • More than 5 years of experience in Big Data implementation projects
  • Experience in the definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc.
  • Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.)
  • Previous involvement in working in a Multilanguage and multicultural environment
  • Proactive, tech passionate and highly motivated

Desirable requirements:

  • Experience in Data analysis and visualization solutions: Microstrategy, Qlik, PowerBI, Tableau, Looker,…
  • Background in Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc.
  • Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc

General information:

  • Start Date: ASAP
  • Length of Contract: 1 year (minimum)
  • Work Location: Madrid
  • Remote working. (It may be necessary at some point on-site presence in the customer office in Madrid).

We look forward to receiving your application!

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Contact Detail:

InterEx Group Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Big Data Architect

✨Tip Number 1

Network with professionals in the Big Data field, especially those who have experience with the tools and technologies mentioned in the job description. Attend industry meetups or webinars to connect with potential colleagues and learn more about the latest trends.

✨Tip Number 2

Prepare to discuss your past projects in detail, particularly those involving Big Data architecture and implementation. Be ready to explain your role, the challenges you faced, and how you overcame them, as this will demonstrate your hands-on experience.

✨Tip Number 3

Familiarise yourself with the specific cloud platforms and tools listed in the job description. Having practical knowledge or certifications in AWS, Azure, GCP, or any of the other technologies mentioned can set you apart from other candidates.

✨Tip Number 4

Practice your communication skills, especially in a CxO context. Being able to articulate complex Big Data concepts in a clear and engaging manner is crucial, so consider doing mock presentations to refine your delivery.

We think you need these skills to ace Big Data Architect

Big Data Architecture
Data Analytics Solutions Design
Presales Experience
Customer Presentation Skills
Communication Skills
CxO Level Engagement
RFP Preparation
Solution Definition
Effort and Cost Estimation
Partner and Vendor Management
Business Domain Knowledge
Cloud Platforms (AWS, Azure, GCP)
NoSQL Databases (Cassandra, MongoDB)
Data Engineering
Data Quality Tools (Informatica, Talend)
Multilingual and Multicultural Collaboration
Proactive Attitude
Data Analysis and Visualisation (PowerBI, Tableau, etc.)
Data Governance Knowledge
Artificial Intelligence Techniques (ML, Deep Learning, NLP)

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your relevant experience in Big Data architecture and presales. Focus on your achievements in previous roles, especially those that align with the requirements listed in the job description.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for Big Data and your ability to communicate effectively at the CxO level. Use specific examples from your past experiences to demonstrate how you meet the essential requirements.

Highlight Technical Skills: In your application, emphasise your technical expertise with various Big Data tools and environments mentioned in the job description, such as AWS, Azure, GCP, and No-sql databases. This will show that you have the necessary background for the role.

Showcase Business Domain Knowledge: Include any relevant business domain knowledge or experience you have that relates to the role. This could be in the form of projects you've worked on or industries you've been involved with, which will help demonstrate your fit for the position.

How to prepare for a job interview at InterEx Group

✨Showcase Your Technical Expertise

Make sure to highlight your experience with various Big Data tools and environments during the interview. Be prepared to discuss specific projects where you implemented solutions using AWS, Azure, GCP, or any other relevant technologies.

✨Prepare Engaging Presentations

Since the role involves preparing high-quality customer presentations, practice delivering a mock presentation. Focus on clarity and engagement, ensuring you can adapt your message based on feedback, especially when discussing complex data solutions.

✨Demonstrate Communication Skills

Your ability to communicate effectively at the CxO level is crucial. Prepare examples of past conversations with senior stakeholders, showcasing how you tailored your communication style to meet their needs and expectations.

✨Understand the Business Domain

Familiarise yourself with the specific business domain of the company you're interviewing with. Research their industry challenges and think about how your Big Data solutions can address these issues, demonstrating your understanding of their unique requirements.

Big Data Architect
InterEx Group
Location: London

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