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Principal Consultant - Data Architecture

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Infosys Consulting
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Cloud Computing, Data Science Manager
Salary/Wage Range or Industry Benchmark: 100000 - 125000 GBP Yearly GBP 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

London About Us

Do you want to boost your career and collaborate with expert, talented colleagues to solve and deliver against our clients' most important challenges? We are growing and are looking for people to join our team. You will be part of an entrepreneurial, high‑growth environment of 300,000 employees. Our dynamic organization allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset.

Are you ready?

About Your Role

As a Principal Data Architecture Consultant, you act as a senior technical leader in complex data and analytics engagements. You shape and govern end‑to‑end enterprise data architectures, lead technical teams, and serve as a trusted technical advisor for clients and internal stakeholders. You are responsible for ensuring that enterprise data and analytics solutions are scalable, secure, and production‑ready, while translating business requirements into robust technical designs and delivery roadmaps.

Your role will include
  • Define and govern target enterprise data, integration and analytics architectures across cloud and hybrid environments
  • Translate business objectives into scalable, secure, and compliant data solutions
  • Lead the design of end‑to‑end data solutions (ingestion, integration, storage, security, processing, analytics, AI enablement)
  • Guide delivery teams through implementation, rollout, and production readiness
  • Function as senior technical counterpart for client architects, IT leads, and engineering teams
  • Mentor data architects, system architects and engineers and contribute to best practices and reference architectures
  • Support pre‑sales and solution design activities from a technical perspective
Requirements

What you bring - required

Experience & Seniority
  • 5–8+ years of experience in enterprise data architecture, system data integration, data engineering, or analytics
  • Proven experience leading enterprise data architecture work streams or technical teams
  • Strong client‑facing experience in complex enterprise environments
Core Data & Analytics Technology Skills
  • Strong expertise in modern data architectures, including Data Mesh/ Data Fabric/ Data lake / data warehouse architectures
  • Modern Data Architecture design principles
  • Batch and streaming data integration patterns
  • Data Platform, Dev Ops, deployment and security architectures
  • Analytics and AI enablement architectures
  • Hands‑on experience with cloud data platforms, e.g.:
    Azure, AWS or GCP
  • Databricks, Snowflake, Big Query, Azure Synapse / Microsoft Fabric
  • Strong SQL skills and experience with relational databases (Postgres, SQL Server, Oracle)
  • Experience with No

    SQL databases (Cosmos DB, Mongo

    DB, Influx

    DB)
  • Solid understanding of API‑based and event‑driven architectures
  • Experience designing and governing enterprise data migration programmes, including mapping, transformation rules, data quality remediation, etc.
Engineering & Platform Foundations
  • Experience with data pipelines, orchestration, and automation
  • Familiarity with CI/CD concepts and production‑grade deployments
  • Understanding of distributed systems;
    Docker/Kubernetes is a plus
Data Management & Governance
  • Strong understanding of data management and governance principles, including data quality, metadata, lineage, master data management
  • Data Management software and tools
  • Security, access control, and compliance considerations
  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field or equivalent practical experience
Nice to have
  • Exposure to advanced analytics, AI / ML or GenAI from an architectural perspective
  • Experience with streaming platforms (Kafka, Azure Event Hubs)
  • Hands‑on experience with data governance or metadata tools
  • Cloud, data, or architecture certifications
Language & Mobility
  • Very good English skills
  • Willingness to travel for project‑related work
About your team

Join our growing Data & Analytics practice and make a difference. In this practice you will be utilizing the most innovative technological solutions in modern data ecosystem. In this role you'll be able to see your own ideas transform into breakthrough results in the areas of Data & Analytics Strategy, Data Management…

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