Data & Analytics Architect
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Data & Analytics Architect

Full-Time 54000 - 84000 £ / year (est.) No home office possible
Apply now
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At a Glance

  • Tasks: Lead data solutions teams and optimize client data systems.
  • Company: Join Visionet Systems Inc., a leader in IT services and consulting.
  • Benefits: Enjoy a full-time role with opportunities for mentorship and innovation.
  • Why this job: Be a trusted advisor and thought leader in data analytics, shaping impactful solutions.
  • Qualifications: 15+ years in Big Data/Analytics; Bachelor's/Master's in relevant fields required.
  • Other info: Work with cutting-edge tools in a collaborative environment.

The predicted salary is between 54000 - 84000 £ per year.

Direct message the job poster from Visionet Systems Inc.

We are looking for a highly skilled and experienced Data & Analytics leader (Azure or AWS) to join our consulting and presales data engineering team. The candidate will be responsible for leading the data solutions teams and be a trusted advisor for the clients in developing, optimizing, and overseeing our customer’s conceptual and logical data systems. Additional duties may include preparing design, architect reports, monitoring the system, supervising system migrations, etc.

Job Responsibilities:

  1. Build data solutions to fit customer business requirements
  2. Design and build solution frameworks
  3. Build data partners and nurture relationships to collaborate solutions
  4. Trusted advisor for client to provide data thought leadership
  5. Working with other practices to build integrated solutions
  6. Thought leadership to bring best of tools related to the business implementation
  7. Managing & mentoring team to foster innovation & growth

Required Skills:

  1. Bachelor’s/Master’s degree in computer science, computer engineering, or relevant field
  2. At least 15+ years of experience in Big Data/Analytics
  3. Knowledge of enterprise BI and analytics
  4. Experience in AI and building ML models
  5. Experience in Hadoop and other industry Big Data frameworks
  6. Understanding of industry-vertical application
  7. Knowledge of underlying infrastructure for Big Data Solutions
  8. Experience in designing, building, and operating cloud services

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Business Development

Industries

IT Services and IT Consulting

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Data & Analytics Architect employer: Visionet Systems Inc.

At Visionet Systems Inc., we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our Data & Analytics Architect role offers not only competitive benefits and opportunities for professional growth but also the chance to work with cutting-edge technologies in a supportive environment. Join us in our commitment to excellence, where your expertise will be valued, and your contributions will directly impact our clients' success.
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Contact Detail:

Visionet Systems Inc. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data & Analytics Architect

✨Tip Number 1

Make sure to showcase your experience with cloud platforms like Azure or AWS in your conversations. Highlight specific projects where you've led data solutions, as this will resonate well with the job poster.

✨Tip Number 2

When reaching out, emphasize your thought leadership in data analytics. Share insights or trends you've observed in the industry that could benefit their clients, demonstrating your expertise and proactive approach.

✨Tip Number 3

Discuss your experience in mentoring teams and fostering innovation. This is crucial for the role, so be prepared to share examples of how you've successfully guided teams in previous positions.

✨Tip Number 4

Build a connection by mentioning any relevant partnerships or collaborations you've had in the past. This shows that you understand the importance of nurturing relationships in the data solutions space.

We think you need these skills to ace Data & Analytics Architect

Big Data Expertise
Cloud Services Architecture (Azure or AWS)
Data Solutions Design
Enterprise BI and Analytics Knowledge
AI and Machine Learning Model Development
Hadoop and Big Data Frameworks Proficiency
Data Systems Optimization
System Migration Supervision
Client Relationship Management
Thought Leadership in Data Engineering
Team Management and Mentoring
Integrated Solutions Development
Industry-Vertical Application Understanding
Strong Communication Skills

Some tips for your application 🫡

Understand the Role: Make sure to thoroughly read the job description for the Data & Analytics Architect position. Understand the key responsibilities and required skills, especially focusing on Azure or AWS experience.

Tailor Your CV: Customize your CV to highlight relevant experience in Big Data, analytics, and cloud services. Emphasize your leadership roles and any specific projects that align with the responsibilities mentioned in the job description.

Craft a Compelling Cover Letter: Write a cover letter that showcases your expertise in data solutions and your ability to be a trusted advisor. Mention specific examples of how you've built data solutions or mentored teams in the past.

Highlight Thought Leadership: In your application, emphasize any thought leadership you've demonstrated in the field of data and analytics. Discuss any innovative solutions you've implemented or industry insights you've shared.

How to prepare for a job interview at Visionet Systems Inc.

✨Showcase Your Technical Expertise

Be prepared to discuss your experience with Big Data and analytics in detail. Highlight specific projects where you've designed and implemented data solutions, especially using Azure or AWS. This will demonstrate your capability as a trusted advisor.

✨Emphasize Leadership Skills

Since the role involves managing and mentoring teams, share examples of how you've led teams in the past. Discuss your approach to fostering innovation and growth within your team, as this is crucial for the position.

✨Demonstrate Thought Leadership

Prepare to talk about industry trends and best practices in data solutions. Show that you can provide valuable insights and thought leadership, which is essential for building relationships with clients and collaborating on integrated solutions.

✨Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving skills in real-world scenarios. Think of examples where you've had to optimize data systems or manage system migrations, and be ready to explain your thought process and outcomes.

Data & Analytics Architect
Visionet Systems Inc.
Apply now
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