We are seeking a highly experienced and visionary Data Solutions Architect (Modern Big Data) to join our Data & AI practice. The successful candidate will bring extensive expertise in architecting and delivering modern big data platforms that are scalable, reliable, and business-aligned. This role is pivotal in enabling clients to harness the power of streaming data, data lakes, lakehouses, and advanced analytics platforms, while guiding them on their data modernization journeys.

As a trusted advisor, you will collaborate with executives, stakeholders, and technical teams to define modern big data strategies, design cloud-native architectures, and implement industry-leading best practices. You will thrive in a fast-paced, evolving technology environment, continuously expanding your knowledge to ensure NTT DATA and our clients remain leaders in data-driven innovation.

Looking ahead to future opportunities: As our business continues to grow, we are building a pipeline of exceptional talent for upcoming positions across the UK. This advertisement is intended to identify and engage candidates in advance of specific vacancies becoming available. We encourage you to apply if you would like to be considered for future opportunities that match your expertise.

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

Business Relationships
•    Client Partners
•    Practice Leaders and Members
•    Peer-level relationships within client organisations up to Head of Data Engineering, Chief Data Architect, CIO, and CDO level

To thrive in this role, you need to have:

Key Competencies
•    Demonstrated expertise in designing and implementing modern big data architectures for 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.
•    Excellent analytical, problem-solving, and communication skills.
•    Proven experience leading data modernisation initiatives across multiple sectors.

Technical Expertise
•    Proficiency with big data technologies: Apache Spark, Kafka, Confluent, Databricks, Unity Catalog.
•    Strong knowledge of cloud ecosystems (AWS, Azure, GCP) and infrastructure-as-code (Terraform, CloudFormation).
•    Hands-on expertise with data lake/lakehouse architectures and modern streaming solutions.
•    Experience with SQL, NoSQL, ETL/ELT pipelines, and programming languages (Python, R, Java).
•    Familiarity with BI, data visualisation, and DevOps principles.
•    Strong understanding of data governance, security, and compliance frameworks (GDPR, CCPA, HIPAA).
•    Exposure to machine learning and AI integration within modern data platforms.

Experience, Qualifications, and Education
•    Experience: Minimum 8–12 years in data architecture, engineering, or consulting, with at least 4+ years in modern big data solution architecture.
•    Education: University degree required.
•    Preferred: BSc/MSc in Computer Science, Data Engineering, or related field. 
•    Relevant certifications in Databricks, Kafka, or cloud platforms highly desirable.

Measures of Success
•    Delivery of modern big data solutions aligned to client business objectives.
•    High client satisfaction and repeat engagements.
•    Leadership in client transformation journeys to cloud-native data platforms.
•    Contribution to practice growth through assets, accelerators, and thought leadership.