At a Glance
- Tasks: Design and deliver modern Databricks-based data platforms and optimise cloud solutions.
- Company: Valcon, a leader in data strategy and transformation.
- Benefits: Collaborative culture, professional development, and access to cutting-edge technologies.
- Other info: Join a rapidly expanding team with excellent growth opportunities.
- Why this job: Shape complex data transformations and make a real impact for high-profile clients.
- Qualifications: Strong experience with Databricks, Apache Spark, and cloud platforms.
The predicted salary is between 60000 - 80000 £ per year.
At Valcon, we help organisations unlock the value of their data through strategy, technology and transformation. Our Data & AI practice partners with clients across a range of industries to design and deliver modern data platforms, advanced analytics capabilities and cloud-native solutions.
We're looking for a Senior Databricks Solutions Architect to join our growing team and play a key role in shaping enterprise-scale data platforms and driving successful Databricks adoption for our clients. This role combines hands‑on technical delivery, architecture leadership and trusted advisory responsibilities.
This is not a PowerPoint architect role. We're looking for someone who enjoys getting hands‑on with technology, solving complex engineering challenges and helping clients realise value from modern data platforms.
You will work closely with client stakeholders, engineers and delivery teams to design, build and optimise scalable cloud‑based data solutions, whilst helping shape best practices across Data & AI engagements.
What You’ll Be Doing:
- Designing and delivering modern Databricks‑based data platforms.
- Building and optimising Apache Spark and PySpark solutions.
- Developing batch and streaming data pipelines.
- Implementing Delta Live Tables, Databricks Workflows and Unity Catalog.
- Advising clients on architecture, governance and platform best practices.
- Supporting infrastructure automation through Terraform and CI/CD pipelines.
- Leading technical discussions and providing architectural guidance.
- Mentoring engineers and contributing to capability growth within Valcon.
- Helping clients modernise and scale their data and analytics environments.
What We’re Looking For:
- Strong experience with Databricks in enterprise environments.
- Expertise in Apache Spark, PySpark and SQL.
- Experience designing and implementing modern data architectures.
- Knowledge of data engineering best practices and platform optimisation.
- Experience with cloud platforms such as Azure, AWS or GCP.
- Exposure to Infrastructure as Code tools such as Terraform.
- Experience working with CI/CD pipelines and DevOps practices.
- Strong stakeholder engagement and consulting skills.
- Ability to operate independently and navigate ambiguity.
- Structured Streaming and real‑time data processing.
- Unity Catalog, Delta Lake and Delta Live Tables.
- Databricks Workflows and orchestration tools.
- Financial Services, Trading, Energy or other data‑intensive industries.
- Experience leading technical teams or architecture workstreams.
Why Join Valcon?
- Work with some of the UK's leading Data & AI specialists.
- Help shape complex data transformations for high‑profile clients.
- Access to leading cloud and data technologies.
- Strong focus on collaboration, learning and professional development.
- Opportunity to influence the growth of a rapidly expanding Data & AI capability.
Databricks Solutions Architect in London employer: Valcon
Valcon is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for a Senior Cloud Platform Engineer. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and the chance to lead cutting-edge projects in a dynamic environment. Located in a vibrant tech hub, Valcon offers a supportive atmosphere where your contributions are valued, and your career can thrive.
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We think you need these skills to ace Databricks Solutions Architect in London
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