Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the design and delivery of advanced data and AI solutions on the Databricks Lakehouse Platform.
- Company: Join a dynamic consultancy partnered with Databricks, driving innovation in data engineering.
- Benefits: Enjoy flexible working options, mentorship opportunities, and a collaborative team culture.
- Why this job: Be at the forefront of data innovation, shaping best practices and mentoring future engineers.
- Qualifications: Expertise in Databricks, Apache Spark, and cloud platforms is essential; certifications are a plus.
- Other info: Ideal for seasoned professionals looking to make a significant impact in a growing team.
The predicted salary is between 43200 - 72000 £ per year.
Techyard is supporting a growing Databricks-partnered consultancy in securing a Databricks Champion Solution Architect to lead the design and delivery of advanced data and AI solutions on the Databricks Lakehouse Platform. This strategic, high-impact role is ideal for a seasoned professional who can operate as both a hands-on architect and a trusted advisor—bridging business vision with technical excellence. You’ll play a pivotal part in driving innovation, embedding best practices, and shaping the consultancy’s data engineering capabilities as they scale their team and client base.
Key Responsibilities:
- Architect and implement end-to-end, scalable data and AI solutions using the Databricks Lakehouse (Delta Lake, Unity Catalog, MLflow).
- Design and lead the development of modular, high-performance data pipelines using Apache Spark and PySpark.
- Champion the adoption of Lakehouse architecture (bronze/silver/gold layers) to ensure scalable, governed data platforms.
- Collaborate with stakeholders, analysts, and data scientists to translate business needs into clean, production-ready datasets.
- Promote CI/CD, DevOps, and data reliability engineering (DRE) best practices across Databricks environments.
- Integrate with cloud-native services and orchestrate workflows using tools such as dbt, Airflow, and Databricks Workflows.
- Drive performance tuning, cost optimisation, and monitoring across data workloads.
- Mentor engineering teams and support architectural decisions as a recognised Databricks expert.
Essential Skills & Experience:
- Demonstrable expertise with Databricks and Apache Spark in production environments.
- Proficiency in PySpark, SQL, and working within one or more cloud platforms (Azure, AWS, or GCP).
- In-depth understanding of Lakehouse concepts, medallion architecture, and modern data warehousing.
- Experience with version control, testing frameworks, and automated deployment pipelines (e.g., GitHub Actions, Azure DevOps).
- Sound knowledge of data governance, security, and compliance, including Unity Catalog.
- Excellent communication, leadership, and problem-solving skills.
Desirable:
- Databricks certifications (e.g., Data Engineer Associate / Professional or Solutions Architect).
- Familiarity with MLflow, dbt, and BI tools such as Power BI or Tableau.
- Exposure to MLOps practices and deploying ML models within Databricks.
- Experience working within Agile and DevOps-driven delivery environments.
Databricks Solution Architect Champion employer: TechYard
Contact Detail:
TechYard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Databricks Solution Architect Champion
✨Tip Number 1
Network with professionals in the Databricks community. Attend meetups, webinars, or conferences where you can connect with current Databricks Solution Architects. This can provide insights into the role and may even lead to referrals.
✨Tip Number 2
Showcase your hands-on experience with Databricks and Apache Spark through personal projects or contributions to open-source initiatives. Having a portfolio that demonstrates your skills can set you apart from other candidates.
✨Tip Number 3
Stay updated on the latest trends and best practices in data engineering and AI solutions. Follow relevant blogs, podcasts, and forums to ensure you can discuss current topics during interviews.
✨Tip Number 4
Prepare to discuss specific scenarios where you've implemented scalable data solutions or optimised performance in previous roles. Real-world examples will demonstrate your expertise and problem-solving abilities effectively.
We think you need these skills to ace Databricks Solution Architect Champion
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks, Apache Spark, and cloud platforms like Azure or AWS. Use specific examples that demonstrate your expertise in designing scalable data solutions and your familiarity with Lakehouse architecture.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and AI solutions. Discuss how your skills align with the key responsibilities of the role, particularly your experience in mentoring teams and driving innovation within a consultancy environment.
Showcase Relevant Projects: If you have worked on projects involving CI/CD, DevOps, or data reliability engineering, be sure to include these in your application. Highlight any specific achievements or outcomes that resulted from your contributions.
Prepare for Technical Questions: Anticipate technical questions related to Databricks, PySpark, and data governance during the interview process. Be ready to discuss your problem-solving approach and how you've implemented best practices in previous roles.
How to prepare for a job interview at TechYard
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with Databricks and Apache Spark. Highlight specific projects where you've implemented scalable data solutions, and be ready to explain the architecture and design choices you made.
✨Demonstrate Problem-Solving Skills
Expect scenario-based questions that assess your ability to tackle real-world challenges. Think of examples where you've successfully resolved issues related to data pipelines or performance tuning, and articulate your thought process clearly.
✨Communicate Effectively
As a Solution Architect, you'll need to bridge technical and business needs. Practice explaining complex concepts in simple terms, and be ready to discuss how you've collaborated with stakeholders to deliver successful outcomes.
✨Emphasise Leadership and Mentoring
Since mentoring is part of the role, prepare to share your experiences in leading teams or guiding junior engineers. Discuss how you've fostered a culture of best practices and continuous improvement within your previous roles.
