At a Glance
- Tasks: Architect and deliver innovative cloud-based data solutions across various sectors.
- Company: Join a modern consultancy with a diverse and inclusive culture.
- Benefits: Competitive salary, remote-first work, and continuous learning opportunities.
- Why this job: Lead high-impact projects and shape enterprise-level architectures for blue-chip clients.
- Qualifications: Proven experience in data architecture and strong leadership skills required.
- Other info: Exciting chance to work on complex, large-scale data programmes.
The predicted salary is between 80000 - 120000 £ per year.
A leading technology solutions company in the United Kingdom seeks an experienced Palantir Solution Architect. The role involves leading multi-skilled agile teams to deliver data solutions, collaborating with customer architects, and mentoring team members. Candidates should have a strong grasp of diverse data technologies and be hands-on with programming in Java, Scala, or Python. The position offers a chance to contribute significantly to both technical solutions and team development.#J-18808-Ljbffr
Senior Data Solutions Architect employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Solutions Architect
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the role you want. Building relationships can open doors that job applications alone can't.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio or a personal website where you can display your projects, case studies, or any relevant work. This gives potential employers a tangible sense of what you can do.
✨Ace the Interview
Prepare for interviews by researching common questions and practicing your responses. But don’t forget to prepare questions for them too! It shows you're genuinely interested and helps you assess if the company is the right fit for you.
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It streamlines the process and ensures your application gets the attention it deserves. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Solutions Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your expertise in data architecture and any relevant projects you've led. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for the Senior Data Solutions Architect role. Share specific examples of your past achievements and how they relate to what we do at StudySmarter.
Showcase Your Technical Skills: Don’t forget to mention your hands-on experience with tools like Databricks, Kafka, and Snowflake. We love seeing candidates who can demonstrate their technical prowess, so be sure to include relevant projects or certifications!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our awesome team!
How to prepare for a job interview at Anson McCade
✨Know Your Data Architecture Inside Out
Make sure you brush up on your knowledge of data architecture principles, especially those relevant to cloud-native solutions. Be ready to discuss your experience with tools like Databricks and Snowflake, as well as architectural patterns like Data Mesh and Data Fabric.
✨Showcase Your Leadership Skills
As a Senior Data Solutions Architect, you'll need to lead cross-functional teams. Prepare examples of how you've successfully guided teams in the past, particularly in a consulting environment. Highlight your ability to engage stakeholders and influence decisions.
✨Familiarise Yourself with Agile Methodologies
Since familiarity with Agile methodologies is key for this role, be prepared to discuss your experience with Scrum, SAFe, or Kanban. Think of specific projects where you applied these methodologies and how they contributed to successful outcomes.
✨Prepare for Technical Questions
Expect technical questions that assess your hands-on knowledge of big data technologies and cloud services. Brush up on your skills in Python, SQL, and any relevant tools. Being able to articulate your thought process during problem-solving will impress your interviewers.