The Role
Lead enterprise Databricks Lakehouse deployments, cloud modernization, data migrations, Terraform-based infrastructure, and secure network architecture. Conduct technical pre-sales through architecture design, proofs of concept, proposals, statements of work, and RFPs. Advise clients on scalable, secure data platforms aligned with business outcomes while translating complex technical concepts for executives.
Summary Generated by Built In
We are seeking a Senior Data & Cloud Architect to lead enterprise-scale data platform deployments and cloud modernization programs. You will act as a trusted advisor, bridging complex business requirements with robust, secure, and scalable data solutions.
Key Responsibilities
- Design and implement enterprise Databricks Lakehouse environments using Unity Catalog, Delta Live Tables (DLT), and Spark compute clusters for efficient batch and real-time processing.
- Drive cloud data infrastructure modernization, including complex data migrations from legacy systems to cloud-native Databricks environments.
- Champion Terraform-first IaC deployments and design secure data network perimeters (e.g., Private Link, hierarchical firewalls) aligned with enterprise standards.
- Lead technical pre-sales, including architecture design, PoC demonstrations, and the development of technical proposals, SOWs, and RFPs.
- Act as a strategic advisor to align secure, high-performance data architectures with client business outcomes.
Experience & Requirements
- Expertise: 8+ years in data/cloud engineering, with 5+ years dedicated to enterprise Databricks architecture.
- Deep hands-on experience with the Databricks ecosystem, Terraform (IaC), CI/CD (GitHub Actions/Azure DevOps), and identity federation (OIDC/SAML).
- Advanced expertise in at least one major cloud provider (GCP, AWS, or Azure).
Databricks Certified (Data Engineer Professional/Lakehouse Architect) and a professional-level Cloud Architect certification required. - Exceptional communication skills with the ability to translate technical concepts for business executives and drive decisions in high-velocity environments.
Why Join Us?
- Build fluency across top technologies (Salesforce, Databricks, GCP, Azure, Anthropic) while designing production-grade data platforms and AI systems that run some of the UK and Africa's largest enterprises.
- We fully sponsor your technical credentials and exam costs, and we reward your progress with recurring monthly certification incentives.
- Enjoy remote-first work flexibility with competitive compensation and access to local co-working spaces like Workshop17.
- Take advantage of our custom leave benefits, including a free day off on your birthday.
- Be part of an inclusive, flat team of industry "Jedi" mentors.
Skills Required
- 8+ years of experience in data or cloud engineering
- 5+ years of enterprise Databricks architecture experience
- Deep hands-on experience with Databricks
- Deep hands-on experience with Terraform and infrastructure as code
- Deep hands-on experience with CI/CD using GitHub Actions or Azure DevOps
- Experience with identity federation using OIDC or SAML
- Advanced expertise in at least one major cloud provider: GCP, AWS, or Azure
- Databricks Certified Data Engineer Professional or Lakehouse Architect certification
- Professional-level Cloud Architect certification
- Exceptional communication skills and ability to translate technical concepts for business executives
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The Company
What We Do
CloudSmiths is a technology consultancy specialising in data analytics, machine learning, software development, AI and business reporting in the cloud.
