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- Tasks: Lead the design and delivery of advanced data and AI solutions on the Databricks Lakehouse Platform.
- Company: Join a growing consultancy partnered with Databricks, focused on innovative data solutions.
- 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 driving impactful projects.
- Qualifications: Expertise in Databricks, Apache Spark, and cloud platforms required; certifications are a plus.
- Other info: Ideal for seasoned professionals looking to mentor and lead in a dynamic environment.
The predicted salary is between 48000 - 84000 £ 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 and learn about their experiences. This can provide valuable insights and potentially 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 ability to design and implement data solutions will make you stand out.
✨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, showcasing your passion and knowledge in the field.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving scenarios related to data pipelines and Lakehouse architecture. Familiarise yourself with common challenges faced in these areas and be ready to discuss how you would approach them.
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 any relevant cloud platforms. Emphasise your hands-on architectural skills and any leadership roles you've held in previous positions.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about the Databricks Lakehouse Platform and how your expertise aligns with the consultancy's goals. Mention specific projects where you've successfully implemented data solutions.
Showcase Relevant Projects: Include examples of past projects that demonstrate your ability to design and deliver scalable data and AI solutions. Highlight your experience with CI/CD practices and any mentoring roles you've undertaken.
Highlight Soft Skills: Since this role requires excellent communication and problem-solving skills, make sure to provide examples of how you've effectively collaborated with stakeholders and led teams in your 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 Your 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 prepare to discuss how you've collaborated with stakeholders to deliver successful outcomes.
✨Emphasise Your Leadership Experience
Since mentoring is a key part of this role, be ready to share examples of how you've guided teams in adopting best practices. Discuss your approach to fostering a collaborative environment and driving innovation within your team.
