At a Glance
- Tasks: Lead a modern Data & Integration Platform using Snowflake and Confluent Kafka.
- Company: Join Infosys, a global leader in digital services and consulting.
- Benefits: Competitive salary, flexible working, and opportunities for continuous learning.
- Other info: Dynamic role with excellent career growth and a focus on sustainability.
- Why this job: Make an impact by driving platform reliability and innovation in a collaborative environment.
- Qualifications: 7+ years in Data Platform leadership with expertise in Snowflake or Confluent Kafka.
The predicted salary is between 60000 - 80000 £ per year.
- Technology – Snowflake, Confluent Cloud, CICD, Fivetran, AKS, K8
- Location – London, UK
Job Description
We are seeking a highly motivated and technically strong Platform Lead to lead a modern Data & Integration Platform comprising
Snowflake, Confluent Kafka, Azure Cloud, Kubernetes, Fivetran, and CI/CD ecosystem.
The ideal candidate will combine deep technical expertise with strong delivery and people leadership capabilities to drive platform reliability, operational excellence, governance, automation, observability, and stakeholder management.
The role requires hands-on expertise in at least two platform technologies, with mandatory expertise in either Snowflake or Confluent Kafka.
The individual will lead cross-functional teams, mentor technical leads, drive Agile ways of working, and ensure successful delivery of platform services aligned to business objectives.
Your role & Responsibilities
- Own end-to-end platform delivery, operations, governance, and service management.
- Define and execute platform strategy, roadmap, and modernization initiatives.
- Drive platform scalability, resilience, automation, and operational maturity.
- Establish engineering best practices, governance controls, and operating procedures.
- Serve as the primary escalation point for critical production incidents and service disruptions.
- Lead planning, execution, and delivery of platform initiatives across multiple technology tracks.
- Drive Agile ways of working using Scrum, Kanban, and continuous improvement practices.
- Ensure adherence to SLAs, KPIs, operational metrics, and customer commitments.
- Proactively manage risks, dependencies, and technical blockers. Drive compliance, security, audit readiness, and cost optimization.
- Implement effective monitoring, observability, and service management processes.
- Hands on experience
- Mentor and guide Snowflake, Kafka, Cloud, Dev Ops, and Platform engineers.
- Provide architectural oversight and technical governance across the platform landscape.
- Drive platform architecture related discussion with Leads, Platform architect & Client
- Contribute to solution designs, operational processes, and technical implementation approaches.
- Build, mentor, and develop high-performing Platform engineering team
- Foster a culture of ownership, accountability, collaboration, and continuous learning.
- Required
- 7+ years leading Data Platform, Cloud, Integration, or Platform Engineering teams.
- Experience working in global Agile delivery environments.
- Strong stakeholder and client engagement experience.
- Strong expertise in Snowflake Administration and/or Confluent Kafka Platform.
- Experience with Azure/AWS/GCP cloud platforms.
- Good understanding of SCM tool like Github and CI/CD pipelines, and automation frameworks.
- Experience with Kubernetes, containerization, and cloud-native platforms.
- Strong understanding of Data Mesh, Data Governance, Security, and Compliance.
- Experience in monitoring, observability, and platform operationss.
- Experience in Agile environments and CI/CD practices.
- Familiarity with SNOW workflows.
- Exposure to Data. world and Manta.
- Personal
Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include:
- 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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Platform Lead/ Senior Consultant - Snowflake employer: Infosys
At Infosys, we pride ourselves on being an exceptional employer, particularly for the Senior Project Manager role in the UK. Our commitment to employee growth is reflected in our inclusive work culture, competitive compensation packages, and opportunities for professional development within the dynamic public sector landscape. Join us to be part of a team that values innovation, collaboration, and the meaningful impact of your work.
StudySmarter Expert Advice🤫
We think this is how you could land Platform Lead/ Senior Consultant - Snowflake
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We think you need these skills to ace Platform Lead/ Senior Consultant - Snowflake
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Infosys. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Infosys
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Infosys!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
