Senior Databricks Data Solutions Architect

NTT DATA, Inc.; Greater London; On-site; GBP 90,000 - 140,000; Full time

Job summary

NTT DATA is seeking a highly experienced Data Solutions Architect (Modern Big Data) to lead design and delivery of scalable data platforms in the Data & AI practice. You will steer cloud-native architectures, guide streaming data, data lakes, lakehouses, and analytics, and partner with executives and technical teams to drive data modernization for clients in the UK.

You will champion best practices, data governance, and security while shaping the data strategy and ensuring measurable business

Qualifications

• Experience delivering modern big data platforms at large enterprises.
• Strong consulting values with the ability to engage effectively with senior client stakeholders.
• Hands-on experience across the data lifecycle: ingestion, storage, transformation, governance, analytics, and consumption.
• Deep understanding of data product strategies, Data Mesh, and Data Fabric concepts.
• Ability to align data strategies with business objectives, driving measurable value.

Responsibilities

• Client Engagement & Delivery
• Solution Design & Implementation
• Modernisation & Transformation
• Thought Leadership & Knowledge Sharing
• Collaboration & Leadership

Skills

Big data architectures

Client stakeholder engagement

Data lifecycle

Data Mesh

Data Fabric

Cloud platforms

Infrastructure as code

SQL/NoSQL

Python/Java

Data governance

AI integration

Education

University degree

BSc/MSc in CS

Data Engineering degree

Tools

Databricks

Kafka

Terraform

Cloud platforms (AWS/Azure/GCP)

Job description

NTT DATA is seeking a highly experienced Data Solutions Architect (Modern Big Data) to lead design and delivery of scalable data platforms in the Data & AI practice. You will steer cloud-native architectures, guide streaming data, data lakes, lakehouses, and analytics, and partner with executives and technical teams to drive data modernization for clients in the UK.

You will champion best practices, data governance, and security while shaping the data strategy and ensuring measurable business