Infosys
Senior Platform Architect - Snowflake

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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, 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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Required
- Multiple years in Platform Engineering, Cloud, Integration, or Data Platforms.
- Must have experience implementing a multi-technology platform for data on the cloud in a large program.
- 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.


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Personal
Besides the professional qualifications of the candidates, we place great importance on various forms of personality profiles, including:
- 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.
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