At a Glance
- Tasks: Lead the architecture and governance of enterprise-scale Data and Integration Platforms.
- Company: Join a forward-thinking tech company focused on innovation and excellence.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on continuous learning and career advancement.
- Why this job: Shape the future of technology while making a real impact in a dynamic environment.
- Qualifications: Extensive experience in Platform Engineering and strong expertise in Snowflake or Confluent Kafka.
The predicted salary is between 60000 - 80000 £ per year.
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.
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.
Qualifications
- Multiple years in Platform Engineering, Cloud, Integration, or Data Platforms.
- Experience implementing a large multi‑technology platform 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, or 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.
Personality Profile
- High analytical skills.
- High degree of initiative and flexibility.
- High customer orientation.
- High quality awareness.
- Excellent verbal and written communication skills.
Infosys is an equal opportunity employer.
