Senior Data Architect: Generative AI & Cloud Analytics

Virtusa; Greater London; On-site; GBP 90,000 - 140,000; Full time

Job summary

Virtusa in London is seeking a highly experienced Data Architect to design and implement scalable data solutions for analytics and ML initiatives. You will shape data models, governance, and pipelines, leveraging Generative AI to advance processing capabilities.

You will collaborate with cross‑functional teams, mentor junior data professionals, and stay ahead of industry trends in data architecture and AI while ensuring data quality and security across systems.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or related field.
• Master's degree or relevant certifications in Data Architecture or AI is a plus.
• Proven track record of successful data architecture projects.

Responsibilities

• Design and implement scalable data architectures that meet business requirements.
• Collaborate with cross-functional teams to define data strategies and governance frameworks.
• Utilize Generative AI techniques to enhance data processing and analytics capabilities.
• Develop and maintain data models, metadata, and data flow diagrams.
• Ensure data quality, integrity, and security across all data systems.
• Stay updated with industry trends and emerging technologies in data architecture and AI.
• Provide technical leadership and mentorship to junior data professionals.

Skills

Generative AI

Data modeling

ETL

Data warehousing

Cloud platforms

SQL

NoSQL

Data governance

Education

Bachelor's degree in Computer Science/IT or related

Master's degree or certifications in Data Architecture or AI

Tools

AWS

Azure

Google Cloud

Hadoop

Spark

Python

R

Job description

Virtusa in London is seeking a highly experienced Data Architect to design and implement scalable data solutions for analytics and ML initiatives. You will shape data models, governance, and pipelines, leveraging Generative AI to advance processing capabilities.

You will collaborate with cross‑functional teams, mentor junior data professionals, and stay ahead of industry trends in data architecture and AI while ensuring data quality and security across systems.