Solutions Architect (Data / Hybrid)
Solutions Architect (Data / Hybrid)

Solutions Architect (Data / Hybrid)

Full-Time 48000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead enterprise-scale Data & AI projects and develop innovative data solutions.
  • Company: Join Computomic, a fast-growing leader in Data & AI solutions with a global impact.
  • Benefits: Enjoy remote work options, excellent compensation, bonuses, and professional development assistance.
  • Why this job: Shape the future of Data & AI while working with top experts in a dynamic environment.
  • Qualifications: Experience in cloud ecosystems, data engineering, and a passion for solving complex problems.
  • Other info: Opportunity for training and certification on Databricks and career development plans.

The predicted salary is between 48000 - 84000 £ per year.

Computomic was founded in 2019 with a vision to design and deploy mission critical and highly differentiated Data & AI solutions for companies looking to migrate their data stack from legacy data platforms such as Teradata, Cloudera, Datastage and Informatica to modern data platforms like Databricks. Over the last few years, we have become a leading Databricks partner, building a strong and mature Databricks practice and delivering Databricks migration projects for some of the world’s leading companies.

Our consulting services and tooling help companies realize value from their data by modernizing their data stack to the latest data platform technologies like Databricks. We use accelerators that save companies up to 80% of time and money moving data from legacy platforms to Databricks. We help customers find margins of improvement in everything they do, which when aggregated creates a transformative effect on their business.

We are a nimble and rapidly growing company with a global footprint, and a focus on Data & AI, and Financial Crime Prevention solutions. We have built an impressive depth of Data & AI experts with over 40 trained and certified Databricks professionals; experts in BI/ Dashboarding tools such as PowerBI and Tableau; and experts in financial crime and fraud prevention.

We are looking for a Principal Engineer/Architect to help us build one of the most impactful Data & AI practices in the industry! You will have the opportunity to shape the future of the Data & AI landscape at leading Fortune 500 companies and cutting-edge startups. You will work on the industry’s most challenging customer engagements to solve Data & AI problems using leading cloud platforms such as AWS/Azure/GCP and Databricks.

You will have the opportunity to work with some of the leading experts in the data and AI industry and develop a deep understanding of Databricks and adjacent technologies. You will be empowered to scope, negotiate and lead complex data migration projects, develop data and AI best practices and thought leadership, and represent both Computomic and Databricks at Industry forums and events.

  • Lead our rapidly growing Data & AI practice
  • Hire, train and develop a highly differentiated and diverse team of Data & AI experts
  • Work directly with end customers and lead enterprise scale Data & AI projects
  • Provide thought leadership in the areas of data engineering, data governance, data transformations, curation and data integration
  • Develop data architecture blueprints, patterns and frameworks that will enable reuse and standardization
  • Working knowledge of three common cloud ecosystems (AWS, Azure, GCP) with expertise in at least one. Capable of designing and deploying highly performant end-to-end data architectures
  • Strong integration & automation implementation skills
  • Proven experience building reusable frameworks and packaged solutions for horizontal solutions (e.g. migrations, MLOps, observability)
  • Ability to identify, debug bottlenecks and significantly optimize slow running data pipelines
  • Experience migrating applications from legacy Hadoop or Data Warehouses to the cloud
  • Databricks Data Engineering certification or willing to obtain

Demonstrating prior Big 4 or proven consulting experience in strategy through execution projects is a plus. Experience leading and working with large Cloud Data Platforms, Cloud Data migration or Enterprise Information Management programs. You are highly motivated, creative in your approach to technical problems and know how to leverage both internal and external networks. You will bring both broad and deep knowledge in Data Engineering and can architect a solution by mapping a customer business problem to an end-to-end solution.

  • Excellent Compensation, including bonuses
  • Referral Program
  • Paid Time Off and Sick Leave
  • Professional Development Assistance
  • Excellent work culture
  • Remote/Hybrid working option
  • Training & Certification on Databricks + adjacent technologies
  • Career Development Plan including management/ leadership training

Work on the most interesting/ exciting/ varied projects - e.g. end-end/ complex migrations; Project responsibility/ independence - pre-sales (scope/ negotiate), delivery (execution/ impact), expansion (sales). Tech Support/ Troubleshooting - problem solve on BIG issues. Apply online and let us know why you would make a great addition to the Computomic team.

Solutions Architect (Data / Hybrid) employer: Computomic

At Computomic, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through comprehensive training and certification opportunities in cutting-edge technologies like Databricks, alongside a robust career development plan. With the flexibility of remote and hybrid working options, competitive compensation, and the chance to lead transformative Data & AI projects for top-tier clients, joining our team means becoming part of a forward-thinking company that values your contributions and empowers you to make a significant impact.
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Contact Detail:

Computomic Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Solutions Architect (Data / Hybrid)

✨Tip Number 1

Familiarise yourself with Databricks and its ecosystem. Since Computomic is a leading partner for Databricks, showcasing your knowledge of this platform and its capabilities will set you apart from other candidates.

✨Tip Number 2

Network with professionals in the Data & AI field, especially those who have experience with cloud platforms like AWS, Azure, or GCP. Engaging with industry experts can provide insights and potentially lead to referrals.

✨Tip Number 3

Stay updated on the latest trends in data migration and engineering. Being knowledgeable about current best practices and innovations will demonstrate your commitment to the field and your ability to contribute effectively.

✨Tip Number 4

Prepare to discuss your previous experiences with complex data projects. Highlighting specific examples where you've led migrations or optimised data pipelines will showcase your expertise and problem-solving skills.

We think you need these skills to ace Solutions Architect (Data / Hybrid)

Data Architecture Design
Cloud Platform Expertise (AWS, Azure, GCP)
Databricks Proficiency
Data Migration Strategies
Data Engineering Best Practices
Integration and Automation Skills
Performance Optimisation of Data Pipelines
Data Governance Knowledge
Data Transformation Techniques
Project Management Skills
Consulting Experience in Data Solutions
Team Leadership and Development
Strong Communication Skills
Problem-Solving Abilities
Thought Leadership in Data & AI

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data architecture, cloud platforms, and migration projects. Use specific examples that demonstrate your expertise in Databricks and other technologies mentioned in the job description.

Craft a Compelling Cover Letter: In your cover letter, express your passion for Data & AI solutions and how your background aligns with Computomic's mission. Mention any experience you have with leading teams or projects, as well as your understanding of the challenges faced in data migration.

Showcase Your Technical Skills: Include a section in your application that outlines your technical skills, particularly in AWS, Azure, GCP, and Databricks. Highlight any certifications you hold or are willing to obtain, as this will demonstrate your commitment to professional development.

Demonstrate Thought Leadership: If you have published articles, given talks, or participated in forums related to Data & AI, mention these in your application. This will show Computomic that you are not only knowledgeable but also actively engaged in the industry.

How to prepare for a job interview at Computomic

✨Understand the Company and Its Vision

Before your interview, take some time to research Computomic's mission and recent projects. Familiarise yourself with their focus on Data & AI solutions and their partnership with Databricks. This will help you align your answers with their goals and demonstrate your genuine interest in the company.

✨Showcase Your Technical Expertise

As a Solutions Architect, you'll need to highlight your experience with cloud platforms like AWS, Azure, or GCP. Be prepared to discuss specific projects where you've designed and deployed data architectures, especially migrations from legacy systems. Use concrete examples to illustrate your problem-solving skills.

✨Demonstrate Leadership and Team Development Skills

Computomic is looking for someone who can lead and develop a diverse team of Data & AI experts. Share your experiences in mentoring or training others, and how you've successfully managed teams in previous roles. Highlight any strategies you've used to foster collaboration and innovation.

✨Prepare for Scenario-Based Questions

Expect to face scenario-based questions that assess your ability to handle complex data migration projects. Think about challenges you've encountered in past projects and how you overcame them. This will showcase your critical thinking and adaptability, which are crucial for this role.

Solutions Architect (Data / Hybrid)
Computomic
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  • Solutions Architect (Data / Hybrid)

    Full-Time
    48000 - 84000 £ / year (est.)

    Application deadline: 2027-05-01

  • C

    Computomic

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