Senior Data Architect
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Job description
We’re recruiting for an experienced Data Solution Architect with strong Databricks expertise to join a leading technology consultancy delivering large-scale data, analytics, AI and cloud transformation programmes. This role will see you designing and delivering modern data platforms, working closely with clients and technical teams to build scalable, secure and high-performing solutions using Databricks, Apache Spark and cloud technologies. Key Responsibilities Design and architect Databricks-based data platforms and solutions.Build scalable data lakehouse and data warehouse architectures.Design data integration, transformation and analytics solutions.Support AI and Machine Learning use cases through modern data architectures.Collaborate with architects, engineers, data scientists and business stakeholders.Lead technical workshops and contribute to solution design activities.Support pre-sales engagements, proposals and client presentations.Drive best practice across Databricks and modern data platform delivery.
Requirements
7+ years’ experience in Data Architecture or Solution Architecture.Strong commercial experience with Databricks and Apache Spark.Experience delivering enterprise data platforms on AWS, Azure or GCP.Strong understanding of data warehousing, data lakes and lakehouse architectures.Experience designing secure, scalable and governed data solutions.Excellent stakeholder management and communication skills.Experience supporting pre-sales, bids or solution shaping activities is highly desirable. Nice to Have Public sector experience.Databricks certifications.Cloud certifications (AWS, Azure or GCP).Experience with AI, Machine Learning or GenAI projects. Security Clearance Candidates must be eligible for SC Clearance, which typically requires continuous UK residency for the past 5 years. ApplyIf you’re an experienced Data Solution Architect with strong Databricks expertise and are looking to work on large-scale cloud and data transformation programmes, we’d love to hear from you.
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