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For Companies At a Glance
- Tasks: Lead data transformation projects and design innovative cloud architectures for clients.
- Company: Join a global consulting group known for its robust Technology & Data practice.
- Benefits: Enjoy a competitive salary, car allowance, bonuses, and flexible benefits.
- Why this job: Work with top-tier clients and make a real impact in technology and analytics.
- Qualifications: Experience with cloud data solutions, data modelling, and strong business acumen required.
- Other info: Opportunities available in London, Manchester, or Leeds.
The predicted salary is between 100000 - 110000 £ per year.
Oliver James are partnered with a global consulting group in assisting their search for a Cloud Data Architect at Senior Manager grade to join their robust Technology & Data practice. This role can sit in either London, Manchester or Leeds paying circa £100,000 - £110,000 plus a range of extras. Our client's engagements sit across FTSE 100s, mid-market clients and government agencies; across a varied range of experiences, a supportive team and an exciting career working in technology, data and analytics. This role will provide you with an opportunity to work across a portfolio of clients, with a focus on large and complex organisations in the Commercial sector.
What your days will look like:
- Overseeing the architecture and delivery of data transformation projects with clients.
- Working with clients to design the right architectural patterns for their use-cases business needs, which may include the designing of solutions such as a data lake or lakehouse.
- Assisting clients in the selection of the right technology for their future data architecture which could include the core data platform, pipeline architecture and governance tooling.
- Oversight and leadership of data transformation projects from a technical perspective to ensure the right solution is implemented with the correct controls and quality.
- Building and managing client relationships including with C-level staff, Heads of Data and Analytics, IT and Data Architects and other business stakeholders during the lifecycle of a project.
Experience required across:
- Cloud based data lakes and data platform solutions with the likes of Databricks, Azure, AWS or Snowflake.
- Data modelling - the ability to design and implement data models from conceptual through to physical which could include slowly changing dimensions or single customer views.
- Experience in the various approaches to ingest data (ETL vs ELT) from different sources such as direct connect and APIs.
- Experience in designing the infrastructure elements of a cloud platform including the setup and implementation of DevOps, networking and security elements.
- Strong business acumen in relation to Analytics, having had experience within at least one business area function (e.g Marketing, Sales, Finance, Workforce, Procurement etc.).
Cloud Data Architect, Senior Manager (Consulting) employer: Oliver James
Contact Detail:
Oliver James Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud Data Architect, Senior Manager (Consulting)
✨Tip Number 1
Network with professionals in the cloud data architecture field. Attend industry events, webinars, or meetups to connect with potential colleagues and clients. Building relationships can give you insights into the company culture and may even lead to referrals.
✨Tip Number 2
Stay updated on the latest trends and technologies in cloud data architecture. Familiarise yourself with platforms like Databricks, Azure, AWS, and Snowflake. Demonstrating your knowledge of these tools during interviews can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss your experience with data transformation projects in detail. Be ready to share specific examples of how you've designed solutions for complex organisations, as this will showcase your expertise and problem-solving skills.
✨Tip Number 4
Highlight your ability to build and manage client relationships, especially with C-level executives. Prepare anecdotes that illustrate your success in collaborating with stakeholders and delivering value through data architecture solutions.
We think you need these skills to ace Cloud Data Architect, Senior Manager (Consulting)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in cloud data architecture and consulting. Focus on specific projects where you've overseen data transformation, designed architectural patterns, or worked with technologies like Databricks, Azure, AWS, or Snowflake.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your experience with data modelling and your ability to build client relationships, especially with C-level executives. Use specific examples to demonstrate your skills.
Showcase Technical Skills: Clearly outline your technical skills related to cloud platforms, data lakes, and data ingestion methods (ETL vs ELT). Include any certifications or training that support your expertise in these areas.
Highlight Business Acumen: Discuss your understanding of analytics within various business functions. Provide examples of how your insights have positively impacted business decisions in areas like marketing, sales, or finance.
How to prepare for a job interview at Oliver James
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with cloud-based data lakes and platforms like Databricks, Azure, AWS, or Snowflake. Highlight specific projects where you designed data architectures or implemented data models, as this will demonstrate your technical proficiency.
✨Understand the Business Context
Since the role involves working with C-level executives and various business stakeholders, it's crucial to show your understanding of how data architecture impacts business functions. Be ready to discuss how your previous work has driven value in areas like Marketing, Sales, or Finance.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Think about past challenges you've faced in data transformation projects and how you overcame them. This will help illustrate your leadership and oversight capabilities.
✨Build Rapport with Interviewers
Establishing a good relationship with your interviewers can set you apart. Engage them with thoughtful questions about their current projects and challenges. This shows your interest in the role and helps create a positive impression.
