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- Tasks: Lead data solutions teams and optimize client data systems.
- Company: Join a dynamic consulting team focused on innovative data engineering.
- Benefits: Enjoy opportunities for mentorship, collaboration, and professional growth.
- Why this job: Be a trusted advisor and thought leader in the exciting field of data analytics.
- Qualifications: 15+ years in Big Data/Analytics with a relevant degree required.
- Other info: Experience with cloud services and AI/ML models is a plus.
The predicted salary is between 72000 - 108000 £ per year.
Job Description
Role:
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:
– Build data solutions to fit customer business requirements
– Design and build solution frameworks
– Build data partners and nurture relationships to collaborate solutions
– Trusted advisor for client to provide data thought leadership
– Working with other practices to build integrated solutions
– Thought leadership to bring best of tools related to the business implementation
– Managing & mentoring team to foster innovation & growth
Required Skills:
– Bachelor’s/Master’s degree in computer science, computer engineering, or relevant field
– At least 15+ years of experience in Big Data/Analytics
– Knowledge of enterprise BI and analytics
– Experience in AI and building ML models
– Experience in Hadoop and other industry Big Data frameworks
– Understanding of industry-vertical application
– Knowledge of underlying infrastructure for Big Data Solutions
– Expertise in large distributed Big Data Application deployment
– Experience in designing, building, and operating cloud services
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Data & Analytics Architect employer: ZipRecruiter
Contact Detail:
ZipRecruiter 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 services like Azure or AWS during the interview. Be prepared to discuss specific projects where you led data solutions and how you optimized them for client needs.
✨Tip Number 2
Highlight your thought leadership in data analytics by sharing insights on industry trends and best practices. This will demonstrate your expertise and ability to guide clients effectively.
✨Tip Number 3
Network with professionals in the data engineering field, especially those who have experience with Big Data frameworks. Building relationships can lead to valuable referrals and insights about the role.
✨Tip Number 4
Prepare to discuss your mentoring and team management experiences. Show how you've fostered innovation and growth within your teams, as this is a key aspect of the role.
We think you need these skills to ace Data & Analytics Architect
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly understand the responsibilities and requirements of the Data & Analytics Architect position. Highlight your relevant experience in Big Data, analytics, and cloud services in your application.
Tailor Your CV: Customize your CV to emphasize your 15+ years of experience in Big Data/Analytics. Include specific projects where you led data solutions or acted as a trusted advisor for clients.
Craft a Compelling Cover Letter: Write a cover letter that showcases your thought leadership in data solutions. Mention your experience with Azure or AWS and how you've built relationships with data partners to deliver successful outcomes.
Showcase Technical Skills: In your application, clearly outline your technical skills related to enterprise BI, AI, ML models, and Big Data frameworks like Hadoop. Provide examples of how you've designed and operated cloud services.
How to prepare for a job interview at ZipRecruiter
✨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 to lead data solutions teams effectively.
✨Emphasize Leadership Skills
Since the role involves managing and mentoring a team, share examples of how you've successfully led teams in the past. Discuss your approach to fostering innovation and growth within your team, as this is crucial for the position.
✨Demonstrate Client Advisory Experience
Prepare to talk about your experience as a trusted advisor to clients. Provide examples of how you've guided clients in developing and optimizing their data systems, showcasing your thought leadership in the field.
✨Discuss Collaboration and Integration
Highlight your ability to work with other practices to build integrated solutions. Share experiences where collaboration led to successful outcomes, as this will show your understanding of the importance of teamwork in delivering comprehensive data solutions.
