Data Solutions Architect

Position Title:
Data Solutions Architect (Modern Big Data)
Organisation / Function:
Data & AI Practice

Job Summary / Purpose
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 modernisation 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.

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

Competencies / Critical Skills
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.