Senior Technology Architect_ Snowflake

Infosys Limited

Greater London

On-site

GBP 110,000 - 150,000

Full time

14 days+
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Job summary

Infosys Limited is 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, Azure Cloud, GitHub 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

Qualifications

  • Several years in Platform Engineering, Cloud, Integration, or Data Platforms.
  • Led a large multi-technology data platform on cloud.
  • Strong Snowflake or Confluent Kafka expertise.
  • Experience with Confluent Cloud, Kafka Connect, Schema Registry, and event‑driven architecture.
  • Hands-on with GitHub Actions CI/CD and Infrastructure-as-Code.
  • Cloud experience on Azure/AWS/GCP.
  • Kubernetes and cloud-native platforms knowledge.
  • Strong stakeholder management and customer-facing experience.

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 GitHub 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.

Skills

Platform engineering
Cloud
Data platforms
Integration
Snowflake
Confluent Kafka
Confluent Cloud
Kafka Connect
GitHub Actions
CI/CD
DevOps automation
IaC
Kubernetes
Data Mesh
Data governance
Security compliance
Observability
Agile delivery
Stakeholder management
Customer-facing

Job description

Role

Platform Architect

Technology

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

Location

London, UK

Compensation

Competitive (including bonus)

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, GitHub 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 GitHub 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 GitHub Actions, CI/CD, DevOps 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.
Personal
  • High analytical skills
  • A high degree of initiative and flexibility
  • High customer orientation
  • High quality awareness
  • Excellent verbal and written communication skills
Overview

Infosys is a global leader in next‑generation digital services and consulting. We enable clients in 59 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer clients, in 59 countries, as they navigate their digital transformation powered by cloud and AI.

We enable them with an AI‑first core, empower the business with agile digital at scale and drive continuous improvement with always‑on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem. We are deeply committed to being a well‑governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace.

All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.

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