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- Tasks: Lead data initiatives and design advanced data models for transformative insights.
- Company: Global Tech Consultants, a leading tech consultancy in London.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Shape the future of data architecture and drive innovation in tech.
- Qualifications: 12+ years in data architecture with expertise in Python, SQL, and Azure.
- Other info: Mentor teams and collaborate with senior management for strategic alignment.
The predicted salary is between 72000 - 108000 £ per year.
Senior Data Architect
Company: Global Tech Consultants
Location: London, UK (Hybrid Work Model)
Job Overview:
Global Tech Consultants seeks an experienced Senior Data Architect to lead strategic data initiatives, design advanced data models, and drive business transformation through actionable data insights. The ideal candidate will possess deep domain knowledge, extensive expertise in data governance, and a strong background in cloud-based data services. This role requires a visionary leader capable of mentoring teams and collaborating with senior management to align data strategy with overarching business goals.
Key Responsibilities:
• Define and execute a comprehensive data architecture strategy that supports CPG and Manufacturing industries.
• Design and maintain scalable and reliable data models that adhere to industry standards like ISA 95 and Industry 4.0.
• Develop complex ETL / ELT processes, data integration tools, and data pipelines to facilitate efficient data flow.
• Lead cloud architecture and DevOps practices, with a focus on Azure data services and big data technologies.
• Architect solutions leveraging maintenance, production, and process data to provide transformative business insights.
• Apply machine learning models and advanced AI analytics to elevate the company\’s data capabilities.
• Guide junior data architects and scientists, promoting a culture of technical excellence and continuous learning.
• Interface with cross-functional teams to ensure the strategic alignment of data projects with business objectives.
Qualifications:
• Bachelor\’s or Master\’s degree in Computer Science, Technology, or related field.
• Minimum of 12 years of experience in data architecture, with a career showing progressive leadership and complex technical challenges.
• Expertise in Python, SQL, Azure (Databricks, Data Factory, Data Lake Gen2), Apache Spark, and PySpark.
• Familiarity with integrating diverse data sources, such as SAP, into a unified data architecture.
• Demonstrated leadership in implementing DevOps and CI / CD methodologies.
• Proven ability to mentor and lead technical teams.
• Fluent in oral and written English, with a willingness to travel up to 10%.
Senior Leadership Expectations:
• Act as a key decision-maker and thought leader in the field of data architecture.
• Foster innovation, strategic planning, and execution of data-driven projects.
• Elevate the company\’s data practices to new heights, setting industry benchmarks.
This role offers a unique opportunity to shape the future of data architecture at a leading tech consultancy. If you are a strategic thinker, a technical expert, and a dynamic leader, we encourage you to apply
Data Architect Specialist employer: Project Brains
Contact Detail:
Project Brains Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect Specialist
✨Tip Number 1
Network like a pro! Reach out to industry professionals on LinkedIn or attend local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data architecture projects. We recommend including case studies that highlight your problem-solving abilities and the impact of your work. This will make you stand out in interviews.
✨Tip Number 3
Prepare for those tricky interview questions! Brush up on your technical knowledge and be ready to discuss your experience with cloud services and data governance. We suggest practising with a friend or using mock interview platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Architect Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the specific skills and experiences mentioned in the job description. Highlight your expertise in data architecture, cloud services, and any relevant leadership roles you've held. We want to see how you align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data architecture and how your vision aligns with our goals at Global Tech Consultants. Be sure to mention any innovative projects you've led that relate to the role.
Showcase Your Technical Skills: Don’t hold back on showcasing your technical prowess! Include specific examples of your experience with Python, SQL, Azure, and any big data technologies. We love seeing how you've applied these skills in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Project Brains
✨Know Your Data Architecture Inside Out
Make sure you’re well-versed in the latest data architecture trends and technologies, especially those relevant to the CPG and Manufacturing industries. Brush up on your knowledge of ISA 95 and Industry 4.0 standards, as these will likely come up during your interview.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in mentoring teams and leading complex projects. Be ready to discuss how you've guided junior architects and scientists in the past, as this role requires a strong leader who can foster a culture of technical excellence.
✨Demonstrate Your Technical Expertise
Be prepared to dive deep into your technical skills, particularly in Python, SQL, and Azure services like Databricks and Data Factory. You might be asked to solve a problem or explain a complex ETL process, so practice articulating your thought process clearly.
✨Align with Business Goals
Understand how data architecture aligns with broader business objectives. Be ready to discuss how your strategic vision can drive business transformation through actionable data insights, and think about how you can contribute to the company’s goals.
