At a Glance
- Tasks: Lead the design of innovative data architectures and optimise cloud infrastructure.
- Company: A leading consultancy known for its dynamic and collaborative work environment.
- Benefits: Competitive pay, flexible remote work options, and opportunities for professional growth.
- Other info: Join a vibrant team with a focus on cutting-edge technology and career advancement.
- Why this job: Shape the future of AI and cloud technology while working on exciting projects.
- Qualifications: Expertise in data architecture, cloud platforms, and programming skills in Python and SQL.
The predicted salary is between 60000 - 80000 £ per year.
My client, a large consultancy, is looking for a Lead Data Architect - AI Cloud Infrastructure, for a 6 month contract inside IR35 based in Manchester offering 2 days per week remote but requiring 3 days per week on-site.
The ideal candidate will have strong experience in:
- Data architecture, data engineering, or enterprise infrastructure design
- Cloud Mastery: Deep architectural expertise in at least one major cloud platform and its AI ecosystem:
- AWS: SageMaker, Bedrock, Glue, Redshift
- Azure: Azure OpenAI Service, Azure Machine Learning, Synapse
- GCP: Vertex AI, BigQuery ML, Dataflow
- Advanced Data Modeling: Proven success modelling for both traditional relational/NoSQL analytical engines and high-dimensional vector spaces
- Data Pipeline Frameworks: Hands-on experience with streaming and batch tooling including Apache Spark, Kafka, Flink, and orchestration tools like Apache Airflow or Prefect
- Programming Literacy: Strong proficiency in Python, SQL, and database internals
The ideal candidate will desirably have experience with unified data clouds such as Databricks or Snowflake.
Lead Data Architect - AI & Cloud Infrastructure employer: iBSC
As a leading consultancy based in London, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Our employees benefit from flexible working arrangements, including remote work options, and have access to extensive professional development opportunities to enhance their skills and advance their careers. Join us to be part of a supportive team that values your contributions and offers a rewarding environment for growth.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Architect - AI & Cloud Infrastructure
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like iBSC before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like iBSC.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like iBSC.
We think you need these skills to ace Lead Data Architect - AI & Cloud Infrastructure
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at iBSC, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to iBSC, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab iBSC’s attention and show the tangible impact of your work.
How to prepare for a job interview at iBSC
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at iBSC.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at iBSC.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at iBSC.
