Databricks Architect

Databricks Architect

Full-Time 48000 - 72000 £ / year (est.) No home office possible
Valcon A/S

At a Glance

  • Tasks: Design and govern the Databricks Lakehouse platform for impactful data solutions.
  • Company: Join Valcon, a fast-growing European consultancy transforming businesses with data and AI.
  • Benefits: Competitive salary, flexible working, and opportunities for professional growth.
  • Why this job: Lead cutting-edge data projects and shape the future of AI in top organisations.
  • Qualifications: Experience with Databricks, data architecture, and cloud solutions like Azure or AWS.
  • Other info: Collaborate with industry leaders and enhance your skills in a dynamic environment.

The predicted salary is between 48000 - 72000 £ per year.

Valcon is a European consultancy that delivers business and technology transformation by combining consulting, data & AI, and technology expertise to help organisations improve efficiency and achieve sustainable growth.

Valcon is private equity backed and in recent years has bought together some of the most exciting companies to form one of the brightest and most exciting consultancies around.

We’re one of the fastest growing companies across Europe and have no plans to stop.

What do we do:

Our mission is to combine premium consulting with deep technology and data knowledge to add value to our clients.

The opportunity:

Valcon is growing its Databricks community and we’re looking for a Databricks Architect to help clients turn data into measurable business results.

As a Databricks Elite Partner, we work on some of the most advanced data and AI projects in Europe. You’ll own the design and governance of the Databricks Lakehouse platform. You’ll set technical standards, shape data architecture, and guide engineers to build secure, cost-efficient, and scalable solutions for analytics, AI, and applications.

Overview of Data Capability:

Every company has data challenges, easy or complex, big or small. This asks for flexibility and in-depth knowledge of data solutions and techniques. We help to define the data strategy and implement best-fit data solutions.

As a leader in data services, we run data transformations and enablement projects for and with our clients.

Valcon combines all we have to offer – Consulting, Data and Technology – in projects. We strive to be a long-term full-service partner implementing robust solutions and increasing value for our clients.

Valcon is the benchmark for modern data solutions. We constantly strive to be the best-in-class by delivering high quality, advanced data solutions to help our clients become strong and leading companies.

Our Data Capability is made of 4 competence teams:

Data Governance

Data Management

Data Platforms

Data Science and Artificial Intelligence

What you’ll do:

You’ll work on projects with leading organisations using Databricks to advance their AI and data strategies.

Partner with data leaders and solution architects to align Databricks design with strategy

Lead, advise on and review the design of platforms, pipelines, and governance patterns

Gather requirements from key stakeholders in technology, data and security

Advise on cluster sizing, DBU optimisation, and cost allocation models

Support bids, proposals, and client workshops with your Databricks expertise

Mentor colleagues and shape Valcon’s data and cloud capabilities

Build and maintain strong client and partner relationships

You’ll collaborate closely with our partners at Databricks as well as Valcon’s internal experts.

Experience

  • Experience designing data Lakehouse architectures with Databricks at the core with security, privacy, and governance at its core
  • Proven experience delivering complex data programmes as the technical lead and design authority
  • Ability to partner with and influence senior client stakeholders to drive the programme to the required outcomes
  • Hands on experience of Databricks including Delta Lake and Unity Catalog
  • Experience of cloud architectures. We favour Azure and AWS.
  • You have guided data engineers and analysts through optimising their workloads and take FinOps at heart

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Databricks Architect employer: Valcon A/S

Valcon is an exceptional employer that fosters a dynamic work culture, encouraging innovation and collaboration among its employees. With a strong focus on professional development, Valcon offers numerous growth opportunities within the rapidly expanding field of data and AI, making it an ideal place for those looking to make a meaningful impact. Located in a vibrant European market, employees benefit from working on cutting-edge projects with leading organisations, all while being part of a supportive and forward-thinking team.
Valcon A/S

Contact Detail:

Valcon A/S Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Databricks Architect

✨Tip Number 1

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 works at Valcon or in a similar field. You never know who might have the inside scoop on job openings!

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your Databricks projects or any relevant work you've done. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.

✨Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to data architecture and governance, and be ready to discuss how you can add value to Valcon's mission.

✨Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the Valcon team and contributing to their exciting projects.

We think you need these skills to ace Databricks Architect

Databricks
Data Lakehouse Architecture
Data Governance
Data Management
Data Platforms
Data Science and Artificial Intelligence
Cloud Architectures (Azure, AWS)
Delta Lake
Unity Catalog
Technical Leadership
Stakeholder Engagement
Cost Allocation Models
Mentoring
Data Strategy Development
FinOps

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Databricks Architect role. Highlight your experience with data Lakehouse architectures and any relevant projects you've worked on. We want to see how your skills align with our mission at Valcon!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and AI, and how you can contribute to our growing Databricks community. Let us know what excites you about working with Valcon.

Showcase Your Technical Skills: Don’t forget to showcase your hands-on experience with Databricks, Delta Lake, and cloud architectures like Azure or AWS. We’re looking for someone who can hit the ground running, so make those skills pop in your application!

Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we’ll be able to review your application quickly. We can’t wait to see what you bring to the table!

How to prepare for a job interview at Valcon A/S

✨Know Your Databricks Inside Out

Make sure you’re well-versed in Databricks, especially its Lakehouse architecture. Brush up on Delta Lake and Unity Catalog, as these are crucial for the role. Be ready to discuss how you've used these tools in past projects.

✨Showcase Your Leadership Skills

As a Databricks Architect, you'll be guiding teams and influencing stakeholders. Prepare examples of how you've led data programmes or mentored colleagues. Highlight your ability to partner with senior clients and drive projects to success.

✨Understand Valcon's Mission

Familiarise yourself with Valcon’s approach to combining consulting with technology and data expertise. Be prepared to discuss how your skills align with their mission to deliver high-quality data solutions and improve client efficiency.

✨Prepare for Technical Questions

Expect in-depth technical questions about data governance, cluster sizing, and cost allocation models. Review best practices and be ready to provide insights on optimising workloads and implementing security measures in cloud architectures.

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