Technical Architect – Data Architecture + GCP

So, who are we? IG Group is a FTSE 100 fintech operating across five continents, serving over 1.3m customers and handling billions of dollars in transactions – built on scale, trust, and proof. We didn't pivot to innovation; it's how we've always operated. What that means for the people who work here is real: genuinely complex problems to solve, the technology and resources to tackle them properly, and the kind of scope that's rare in established businesses.

The bar is high – bring a curious and forward-thinking mindset and we'll give you the platform to define what comes next. Join us at IG – the future gets built here.

Lead the drive for defining and commending the architecture vision and high level design for Post Trade regulatory reporting.

Should have experience building solutions using Java following Event Driven and Microservices architectures.

Should have experience with batch and streaming Data architectures.

Be able to work with infrastructure teams to guide the setup of runtimes required for the data architecture.

Understanding of key data principles and data platforms like Data Lake, ODS and DW.

Drives data quality, data profiling and data governance activities to ensure data is fit for purpose for IG Reporting.

Solid understanding of technology strategy, change management, and a principled approach to broad transformational challenges and opportunities.

Actively participate in the relevant communities of practice, providing thought leadership, coaching and mentoring of other employees to build a community around development best practice, developing standards and knowledge sharing.

Solution oriented experience with streaming data architectures using Apache Flink/Spark, having data backbone as Kafka or other messaging solutions, are preferred.

Experience with Mongo, Oracle RDBMS are preferred.

Good to have experience delivering key regulatory project solution architecture like MIFID, ESMA, GDPR etc. Person specification

A good collaborator who is happy to work across the IT teams to support integration design realization and ensure collaborative evolution of the strategy.

A proactive and creative thinker who provides clear vision, inspiring and engaging staff to deliver excellence.

Demonstrates sound and pragmatic judgement, balancing pace, risk and business value to reach decisions which are well informed, rigorous and actionable.

Establishes and maintains effective working relationships and influence with key stakeholders based on professional credibility and excellent communication and engagement.

Good facilitator, drawing out problems, involving and gaining commitment from the relevant stakeholders with credibility and gravitas to establish trust, gaining consensus and buy-in.

12 – 15 years of experience as a Technical Architect with hands-on ownership of enterprise-scale cloud data platform design from concept through to production.

Strong cloud architecture expertise on GCP and AWS — with deep practical knowledge of at least one. GCP experience (BigQuery, Cloud Composer/Airflow, Cloud Run, Cloud Functions, GCS, Dataproc, VPC Service Controls, IAM, Dataplex) is a strong advantage.

Demonstrable experience designing and implementing data lakehouse architecture using medallion architecture (Bronze/Silver/Gold) with a focus on progressive data quality, immutability, and dimensional modelling.

Experience with batch and streaming data architectures — Kafka, event-driven ingestion, EMB/messaging systems, and how these feed into cloud data platforms.

Solid understanding of data governance — access control frameworks, IAM/RBAC, PII encryption, data classification, audit logging, and compliance-driven design (GDPR, FCA, or equivalent regulatory context).

Experience designing and documenting cloud integration patterns — REST API, MFT, event streaming, cross-cloud (AWS↔GCP) — including security considerations such as Workload Identity Federation, VPC perimeters, and JWT-based service-to-service authentication.

Track record of producing architecture artefacts that go through formal review and approval — HLDs, reference architectures, ADRs, or equivalent — and getting them ratified by senior technical and business stakeholders.

Ability to evaluate multiple architectural options, articulate trade-offs clearly, and make and document well-reasoned decisions under ambiguity.

Knowledge of dimensional data modelling, canonical data models, and schema registry (AVRO) in the context of enterprise data platforms.

We try to take a thoughtful approach to our ways of working as a company. We follow a hybrid working model with 3 days in the office – which we think balances the need to collaborate effectively and connect with each other . When it comes to how we deliver, there are 5 things we want everyone to do to drive high performance, better learning and career satisfaction:

Lead and Inspire: Drives trust, alignment, and enthusiasm

Think Big: Focus on the problems that most impact commercial outcomes

Champion the client: Understand and prioritise client's needs

Deliver at pace: Push for fast, sustainable growth;

Raise the bar: Take ownership, be accountable and share feedback

We believe that diversity is vital to success, it fuels creativity, drives innovation and sets us up for global success. We’re committed to building teams with a variety of perspectives and skills to help us realise our vision and strategy, that’s why we encourage applications from people with diverse backgrounds and experiences to join us on this journey. Learn more about our D&I approach here .