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- Tasks: Lead complex Data & AI projects and shape innovative solutions for top companies.
- 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: Be part of a dynamic team tackling exciting challenges in the Data & AI landscape.
- Qualifications: Experience in cloud ecosystems and data engineering; Databricks certification preferred.
- Other info: Opportunity for career growth and leadership training in a supportive work culture.
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 is also beneficial.
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.
AWS Solutions Architect - Data employer: Computomic
Contact Detail:
Computomic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Solutions Architect - Data
✨Tip Number 1
Familiarise yourself with Databricks and its ecosystem. Since Computomic is a leading partner for Databricks, showcasing your knowledge of their platform and how it integrates with AWS 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 migrations. Engaging with industry experts can provide insights into the challenges faced during data migrations and help you understand what Computomic values in a candidate.
✨Tip Number 3
Prepare to discuss your experience with enterprise-scale projects. Be ready to share specific examples of how you've led or contributed to complex data migration projects, particularly those involving legacy systems and cloud platforms.
✨Tip Number 4
Stay updated on the latest trends in Data Engineering and AI. Being knowledgeable about current best practices and emerging technologies will demonstrate your commitment to the field and your ability to contribute to Computomic's innovative projects.
We think you need these skills to ace AWS Solutions Architect - Data
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data architecture, cloud platforms (especially AWS), and any specific projects related to data migration or AI solutions. Use keywords from the job description to align your skills with what Computomic is looking for.
Craft a Compelling Cover Letter: In your cover letter, express your passion for Data & AI and explain how your background makes you a perfect fit for the role. Mention specific experiences where you've led data migration projects or developed innovative solutions, showcasing your leadership skills.
Showcase Relevant Certifications: If you have certifications related to Databricks, AWS, or other relevant technologies, make sure to include them prominently in your application. If you are willing to obtain the Databricks Data Engineering certification, mention this as well to demonstrate your commitment to professional development.
Highlight Problem-Solving Skills: Provide examples in your application that illustrate your ability to identify and solve complex data problems. Discuss any experience you have with optimising data pipelines or implementing automation, as these are key skills for the role.
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 an AWS Solutions Architect, you'll need to highlight your experience with cloud platforms, particularly AWS, Azure, and GCP. Be prepared to discuss specific projects where you've designed and deployed data architectures, and how you've tackled challenges in data migration and integration.
✨Prepare for Scenario-Based Questions
Expect to face scenario-based questions that assess your problem-solving skills. Think of examples from your past experiences where you've successfully led complex data migration projects or optimised data pipelines. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Demonstrate Leadership and Team Development Skills
Since the role involves leading a team of Data & AI experts, be ready to discuss your leadership style and how you've developed teams in the past. Share examples of how you've mentored others, fostered collaboration, and contributed to a positive work culture.
