At a Glance
- Tasks: Lead the design and optimisation of scalable data platforms using Databricks.
- Company: Join a high-impact data team in a dynamic environment.
- Benefits: Competitive salary, career growth, and exposure to advanced analytics.
- Other info: Collaborative culture with opportunities for professional development.
- Why this job: Make a real impact on large-scale data transformation initiatives.
- Qualifications: 10-15 years in data engineering with 5+ years in Databricks.
The predicted salary is between 60000 - 80000 £ per year.
Location: Leeds, England, United Kingdom
Work Mode: Onsite
Experience: 10–15 Years (minimum 5+ years in Databricks)
Employment Type: Full-time
About the Role
We are seeking a highly experienced Databricks Architect to lead the design, development, and optimization of scalable data platforms and advanced analytics solutions. This role requires a deep understanding of Databricks Lakehouse architecture, big data engineering, cloud ecosystems, and enterprise data strategy. The ideal candidate will partner with business and technology leaders to deliver high-performance data systems that support analytics, AI/ML, and real-time insights.
Key Responsibilities
- Architecture & Solution Design: Architect end-to-end Databricks Lakehouse solutions including data ingestion, ETL/ELT pipelines, Delta Lake, data warehousing, and data governance frameworks. Define and enforce best practices, security standards, and performance optimization across Databricks workloads. Design scalable big data architectures leveraging Spark, Delta Live Tables, Unity Catalog, and MLflow. Lead cloud architecture design on Azure/AWS/GCP (based on organization need) integrated with Databricks.
- Data Engineering & Platform Build: Build and optimize large-scale ETL/ELT pipelines using PySpark, SQL, and Delta. Oversee data quality frameworks, metadata management, lineage, and monitoring.
- Leadership & Stakeholder Engagement: Work closely with business leaders and product teams to translate requirements into robust technical solutions. Guide development teams, perform architecture reviews, and ensure platform engineering excellence. Conduct technical workshops, POCs, and roadmap planning for the Databricks environment.
- Performance, Security & Governance: Optimize Databricks clusters, query performance, and cost management. Implement data governance standards using Unity Catalog, RBAC, and compliance guidelines (GDPR, ISO). Ensure resilience, scalability, and disaster recovery readiness.
Required Skills & Qualifications
- 10–15 years overall experience in data engineering or data architecture.
- 5+ years of hands-on architecture experience specifically in Databricks.
- Expert in Apache Spark, PySpark, Databricks SQL, Delta Lake, and distributed systems.
- Strong understanding of Lakehouse architecture, BI ecosystems, and modern data platforms.
- Cloud expertise in Azure/AWS/GCP (Azure preferred for many UK clients).
- Experience with CI/CD, Infrastructure-as-Code (Terraform preferred), and DevOps.
- Proven experience leading teams and delivering enterprise-grade data solutions.
Preferred Qualifications
- Databricks certifications (e.g., Databricks Certified Data Engineer Professional, Architect).
- Experience building ML solutions using MLflow or integrating with cloud ML services.
- Experience in BFSI, Retail, Telecom, or Healthcare data environments.
- Experience with real-time data processing (Kafka, EventHub, Kinesis).
Soft Skills
- Excellent communication and stakeholder management skills.
- Strong problem-solving and solution-oriented mindset.
- Ability to lead in a fast-paced and dynamic environment.
- Collaborative, proactive, and able to provide strong technical direction.
Why Join Us?
- Work onsite with a high-impact, cutting-edge data team in London.
- Opportunity to lead large-scale data transformation initiatives.
- Exposure to enterprise data strategy, advanced analytics, and AI projects.
- Competitive compensation and career-growth opportunities.
Databricks Architect in Bradford employer: Tredence Inc.
Join our dynamic team in Leeds as a Databricks Architect, where you'll have the opportunity to lead innovative data transformation projects within a collaborative and high-impact environment. We offer competitive compensation, robust career growth opportunities, and the chance to work with cutting-edge technologies that drive advanced analytics and AI initiatives. Our supportive work culture fosters continuous learning and professional development, making us an excellent employer for those seeking meaningful and rewarding careers.
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We think you need these skills to ace Databricks Architect in Bradford
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