Data Architect

HCL Technologies Limited; Burgess Hill; On-site; GBP 70,000 - 110,000; Full time

Job summary

HCLTech is seeking a Data Architect to lead data architecture and enterprise data modelling across global financial services domains. You will design scalable OLTP data models, govern data standards, and collaborate with stakeholders to ensure data integrity and compliance. Strong English communication and documentation skills are essential.

The role requires expertise in relational databases, data migration, and integration patterns, with a focus on scalable, resilient data solutions.

Qualifications

• Experience in data architecture and enterprise data modelling.
• Relational DB design with Oracle and PostgreSQL.
• Design scalable data models for OLTP systems.
• Excellent written and verbal English communication.
• Experience in financial services or related domains.

Skills

Data architecture

Data modelling

Oracle & PostgreSQL

OLTP modelling

Data governance

Data migration

Performance & scalability

Stakeholder engagement

English communication

Independent working

Education

Bachelor’s or Master’s in Computer Science/IS/Engineering

Tools

ER/Studio

Hackolade

Google Cloud Spanner

Cassandra

YugabyteDB

Job description

HCLTech is a global technology company, home to more than 220,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services.

Role – Data Architect

Role Overview

Must-have skills

• Strong experience in data architecture and enterprise data modelling.
• Strong relational database design and modelling experience with Oracle and PostgreSQL.
• Ability to design scalable, high-performance data models for OLTP systems.
• Experience creating domain, conceptual, logical, and physical data models.
• Solid understanding of data normalization, denormalization, and distributed data design.
• Strong knowledge of enterprise integration patterns and data governance principles.
• Experience with data migration, integration, and transformation planning.
• Understanding of performance, scalability, resiliency, and disaster recovery considerations.
• Experience in financial services, capital markets, investment banking, trading platforms, risk, or regulatory environments.
• Understanding of financial data domains and transactional systems.
• Excellent written and verbal English communication skills.
• Strong presentation, stakeholder engagement, analytical, documentation, and problem-solving skills.
• Ability to work independently and collaboratively in a fast-paced enterprise environment.

Nice-to-have skills

• Experience with wide-column and distributed NoSQL databases, particularly Cassandra and YugabyteDB.
• Familiarity with distributed database technologies such as Google Cloud Spanner.
• Hands-on experience with data modelling tools, preferably ER/Studio and Hackolade.
• Familiarity with cloud and hybrid data architectures.
• Experience assessing current-state systems and recommending modernization or optimization opportunities.
• Experience working on large enterprise transformation programs.
• Exposure to enterprise architecture frameworks and architecture governance reviews.
• Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related discipline.
• Financial industry or architecture certifications.