Databricks Champion Architect - NTT DATA

We're a business with a global reach that empowers local teams, and we undertake hugely exciting work that is genuinely changing the world. Our advanced portfolio of consulting, applications, business process, cloud, and infrastructure services will allow you to achieve great things by working with brilliant colleagues, and clients, on exciting projects.

Our inclusive work environment prioritises mutual respect, accountability, and continuous learning for all our people. This approach fosters collaboration, well-being, growth, and agility, leading to a more diverse, innovative, and competitive organisation. We are also proud to share that we have a range of Inclusion Networks such as: the Women's Business Network, Cultural and Ethnicity Network, LGBTQ+ & Allies Network, Neurodiversity Network and the Parent Network.

For more information on Diversity, Equity and Inclusion please click here: Creating Inclusion Together at NTT DATA UK | NTT DATA

• Own the end-to-end Databricks solution architecture across ingestion, transformation, governance, serving, and operations.
• Define and enforce Medallion Architecture (Bronze/Silver/Gold) standards and reference designs (including data quality, SCD/CDC patterns, performance, and retention).
• Architect ingestion approaches using Lakeflow Connect, AutoLoader, batch/streaming/CDC strategies, and enterprise integration patterns.
• Namespace strategy, access models, lineage, data sharing, and secure-by-design patterns.
• Data quality strategy, validation rules, quarantine patterns, and observability standards.
• CI/CD approach, environment strategy (dev/test/prod), monitoring, runbooks, and operational readiness.
• Work with security, enterprise architecture, data governance, platform teams, and delivery squads.
• Provide playbooks, templates, architecture decision records (ADRs), design reviews, and technical coaching.
• High-level designs, estimation, risk/dependency management, and technical proposals.

Minimum Experience

• 2+ years of hands-on Databricks experience gained recently (e.g., within the last 2-3 years) with evidence of modern feature usage and production delivery.
• Demonstrable architecture ownership (solution design, governance models, or platform standards), even if overall industry experience is greater than 2 years.

Must Have

• Databricks Certified Data Engineer Associate/Professional
• Databricks Certified Machine Learning Associate/Professional
• Databricks Certified Generative AI Engineer (Associate)
• Proven ability to design Bronze/Silver/Gold layers, data contracts, data lifecycle, and serving patterns (BI, APIs, ML features).
• Governance model design (catalog strategy, grants), lineage, and secure access patterns.