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For Companies At a Glance
- Tasks: Lead the design and maintenance of data pipelines on the Databricks cloud platform.
- Company: Join a forward-thinking company focused on Data Modernization and Gen AI.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make an impact in data engineering while collaborating with innovative teams.
- Qualifications: 10+ years in cloud systems, expertise in Databricks, and strong communication skills.
- Other info: Dynamic projects with chances to switch teams as the business evolves.
The predicted salary is between 48000 - 72000 £ per year.
Join our Data Modernization and Gen AI practice and take the lead across designing, building, and maintaining data pipelines and analytics solutions on the Databricks cloud platform and collaborate with data analysts and customer stakeholders to ensure the availability, scalability, and reliability of data.
Desired Candidate Profile
- Consultative and personable data engineering leader who will provide advice and leading expertise on Databricks and have a deep understanding of cloud data services to become a key contributor to various large scale data projects.
- Works on specific projects critical to our needs with opportunities to switch teams and projects as our fast‑paced business grows and evolves.
- Is versatile, displays leadership qualities and is enthusiastic to take on new challenges across the data stack.
Job Requirements
- Experience with Databricks, Spark and working knowledge of DBT for data processing and transformation.
- Working understanding of Data Warehousing concepts of Data Vault, Dimensional modelling, OLAP design.
- Hands‑on experience building data pipelines using technology such as Azure Data Factory, AWS Glue, GCP Dataflow and Apache Spark (preferably in Databricks).
- Extensive experience with CI/CD platforms such as GitLab CI, GitHub Actions, AWS CodeBuild, Azure Pipelines, GCP Cloud Build, and Jenkins.
- Skilled in scripting languages including Python, SQL, R, Scala, Bash, and PowerShell.
- Familiarity with log and monitoring solutions.
- Experience in utilizing development containers, unit testing/code quality review - standard best practices.
- Proficiency in Python and SQL for data transformation and querying.
- Strong expertise in version control systems.
- Familiarity with containerization and orchestration technologies.
- Strong problem‑solving, troubleshooting, communication and collaboration skills.
- Familiarity with Generative AI Large Language Models (LLMs) and Retrieval Augmented Generation (RAG) techniques.
- Databricks certified candidates will be preferred.
Responsibilities
- Design & Architecture: Design and implement solutions for the Databricks platform and APIs. Work with data engineering and data science teams, customers, and other customer‑facing teams.
- Technical leadership: Provide technical guidance to customers on big data projects, including architectural design, data engineering, and model deployment.
- Customer collaboration: Work with customers to understand their requirements, and help them define solutions and a roadmap to meet their goals.
- Solution design: Create and review architecture and solution design artifacts.
- Communication: Communicate complex technical concepts to non‑technical stakeholders, such as business leaders and C‑level executives.
- Documentation: Develop and maintain documentation for the Databricks platform, such as deployment guides, operational procedures, and architecture diagrams.
- Risk management: Identify, communicate, and mitigate risks, assumptions, issues, and decisions.
Qualifications
- Bachelor’s or higher degree in Computer Science, Information Technology, or a related field.
- 10+ years industry experience building and supporting large‑scale cloud systems.
- Ability to speak and write in English fluently.
- Excellent verbal and written communication skills.
Preferred Qualifications
- Professional Certification in one or more areas: Cloud Architecture, Data Engineering, Data Analyst, ML Engineer.
Databricks Practice Architect in England employer: TEKsystems
Contact Detail:
TEKsystems Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Databricks Practice Architect in England
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Databricks Practice Architect role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Databricks and data pipelines. We want to see your hands-on experience, so make sure to highlight your best work!
✨Tip Number 3
Prepare for the interview by brushing up on your communication skills. You’ll need to explain complex concepts to non-technical stakeholders, so practice breaking down your knowledge into simple terms. We’re here to help you ace that interview!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Databricks Practice Architect in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Databricks Practice Architect role. Highlight your experience with Databricks, Spark, and any relevant cloud data services to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of your past projects and how they relate to the responsibilities listed in the job description.
Show Off Your Technical Skills: Don’t shy away from showcasing your technical expertise! Mention your hands-on experience with data pipelines, CI/CD platforms, and scripting languages like Python and SQL. We love seeing those skills in action!
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’s super easy!
How to prepare for a job interview at TEKsystems
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Be ready to discuss your experience with building data pipelines and analytics solutions, as well as any specific projects you've worked on using Databricks. This will show that you're not just familiar with the platform but can also leverage it effectively.
✨Show Off Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex data challenges in the past. Think about specific instances where your troubleshooting skills made a difference. This is crucial for a role that requires strong problem-solving abilities, so have those stories ready to go!
✨Communicate Like a Pro
Since you'll be working with both technical teams and non-technical stakeholders, practice explaining complex concepts in simple terms. You might be asked to describe a technical project to someone without a tech background, so being able to communicate clearly is key.
✨Be Ready to Discuss Collaboration
Collaboration is a big part of this role, so think about times when you've worked closely with others, especially in cross-functional teams. Be prepared to discuss how you’ve contributed to team success and how you handle differing opinions or challenges in a collaborative environment.