Enterprise Data Architect

Vallum Associates

London, UK

3 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

find.jobs

Tech stack

Application Programming Interfaces (APIs) Amazon Web Services Microsoft Azure Cloud Computing Cloud Computing Security Cloud Engineering Continuous Integration Data Architecture Data Governance Data Infrastructure Extract Transform Load (ETL) DevOps

+16 more

Distributed Systems Enterprise Data Management Google Cloud Apache Spark Multi-Cloud Technical Debt HybridCloud Event Driven Architecture Microsoft Fabric Data Lakes Kubernetes Apache Kafka Cloud Migration Stream Processing Docker Microservices

Job description

Define and drive enterprise-wide cloud and data architecture strategies, roadmaps, and governance frameworks aligned to business objectives.
Design and implement scalable, secure, and resilient cloud-native solutions across Microsoft Azure Azure, Amazon Web Services AWS, and Google Cloud GCP environments.
Lead cloud transformation and migration initiatives including hybrid cloud and multi-cloud architectures.
Establish and oversee enterprise data architecture frameworks such as Data Mesh, Lakehouse, and Data Fabric.
Drive adoption of modern architecture patterns including microservices, APIs, event-driven architectures, and real-time data processing.
Define and enforce architecture standards, security controls, compliance policies, and governance best practices.
Collaborate with business stakeholders, product owners, engineers, and platform teams to deliver scalable and efficient technology solutions.
Identify opportunities to modernise platforms, reduce technical debt, improve performance, and optimise cloud and operational costs.

Requirements

Extensive experience in Enterprise Architecture, Cloud Architecture, or Data Architecture within large-scale enterprise environments.
Strong expertise in cloud platforms including Microsoft Azure Azure, Amazon Web Services AWS, and Google Cloud GCP.
Proven experience designing cloud-native, scalable, secure, and highly available enterprise solutions.
Strong knowledge of modern data platforms and technologies including Data Lakes, Lakehouse, ETL/ELT, Kafka, and Spark.
Expertise in microservices, APIs, event-driven architectures, integration patterns, and distributed systems design.
Good understanding of data governance, cloud security, compliance frameworks, and enterprise risk management.
Experience with DevOps, CI/CD pipelines, Infrastructure-as-Code, Kubernetes, Docker, and automation practices.
Strong stakeholder management, communication, analytical, and problem-solving skills with the ability to influence technical and business decision