Data Architect

Job Description

Role –Platform Architect

Technology – Snowflake, Confluent Cloud, CICD, Fivetran, AKS, K8

Location – London, UK

Job Description

We are seeking a highly experienced Platform Architect to lead the architecture, governance, modernization, and operational excellence of enterprise-scale Data and Integration Platforms across Snowflake, Confluent Cloud Kafka, Azure Cloud, Git Hub Actions CI/CD, Kubernetes, Data Mesh, and broader integration ecosystems. The ideal candidate will combine deep technical expertise with strategic architecture leadership, strong customer engagement skills, and the ability to provide hands‑on guidance across multiple platform domains.

This role will be responsible for shaping the platform strategy, defining architectural standards and best practices, and driving technology transformation initiatives that deliver scalable, secure, resilient, and business-aligned solutions.

Your role & Responsibilities

Define enterprise platform architecture, reference architecture, standards, and engineering guardrails.

Build modernization roadmaps for Data, Streaming, Integration, and Platform Engineering ecosystems.

Drive architecture reviews, technology evaluations, and platform transformation initiatives.

Establish governance, security, resilience, scalability, and cost‑optimization frameworks.

Lead Snowflake architecture covering security, governance, RBAC, data sharing, performance optimization, and multi‑environment strategy.

Define enterprise data platform standards and operational best practices.

Guide warehouse sizing, workload management, performance tuning, and cost optimization.

Design event‑driven architecture using Confluent Cloud.

Define topic governance, schema management, security controls, HA/DR, and cluster strategy.

Establish enterprise integration patterns using Kafka, Kafka Connect, APIs, and streaming architectures.

Define and implement CI/CD standards using Git Hub Actions.

Drive Infrastructure-as-Code, automation, release governance, and quality gates.

Establish platform engineering practices supporting continuous delivery and automation.

Define Data Mesh principles, domain ownership models, governance, metadata management, and interoperability standards.

Establish integration architecture across Snowflake, Kafka, cloud platforms, APIs, ETL/ELT, and downstream systems.

Collaborate with business and engineering teams to enable scalable data products

Required

• Multiple years in Platform Engineering, Cloud, Integration, or Data Platforms.
• must have 1 large program where the person has implemented a multi technology platform for data on cloud
• Strong expertise in Snowflake and/or Confluent Kafka.
• Experience with Confluent Cloud, Kafka Connect, Schema Registry, and event-driven architecture.
• Hands‑on experience with Git Hub Actions, CI/CD, Dev Ops automation, and Infrastructure-as-Code.
• Experience with Azure/AWS/GCP cloud platforms.
• Strong knowledge of Kubernetes, containerization, and cloud-native platforms.
• Deep understanding of Data Mesh, Data Governance, Security, and Compliance.
• Experience with observability, monitoring, and platform operations.
• Strong stakeholder management and customer-facing experience.
• Experience working in Agile delivery environments