Job Description

Role -

Senior Technology Architect

Technology

- Azure Data Factory, ADLS, Snowflake, Kafka, Power BI, Confluent Cloud, MS Fabric, Python/Pyspark, MSBI(SSIS)

Location

- London

Business Unit

- DNA

Compensation -

Competitive (including bonus)

We are looking for a

Lead Data Architect

who has experience in solution planning and system architecture design,in leading DW/BI initiatives on

Azure and/or Snowflake

platforms.

The ideal candidate will have extensive experience in designing and implementing scalable data warehouse and business intelligence solutions, with a strong emphasis on

statistical and advanced analytics

. The role involves close collaboration with cross-functional teams to gather data requirements and ensure

data integrity and consistency

across systems.

Insurance domain expertise is mandatory in Commercial/Speciality Insurance

Roles & Responsibilities

Lead engagements across all phases--from problem definition and diagnosis to solution design, development, and deployment. Create detailed design and architecture, and process artifacts, implement the solution and the deployment plan. Engage with senior client stakeholders, providing thought leadership in domain, process, and technology. Diagnose complex issues, design innovative solutions, and ensure successful delivery to drive client satisfaction. Conduct product demos, proof-of-concept workshops, and prepare effort estimates aligned with client budgets.

Required Qualifications

Minimum 15 years of experience in data architecture, including 5+ years as a Lead Data Architect. Strong domain knowledge in Insurance. (Commercial/Speciality Insurance) Hands-on expertise in

+ Azure Data Factory, ADLS, Snowflake
+ Mandatory: Strong hands-on experience in at least one of these technologies.
+ Preferred: Experience in more than one is a strong advantage.
+ Kafka, Power BI, Confluent Cloud, Microsoft Fabric
+ Mandatory: Strong hands-on experience in at least one of these technologies.
+ Preferred: Experience in multiple is a plus.
+ Python/PySpark, MSBI (SSIS)
+ Preferred: Good understanding or experience in any of these technologies.
+ SQL Scripting and Data Lakes
+ Mandatory: Strong proficiency in SQL and in-depth knowledge of Data Lakes.
Deep understanding of:
+ Data modeling and data product concepts
+ DW/BI/AI solution architecture
+ Agile methodologies
Experience in:
+ Leading business process workshops and Fit-Gap analysis
+ Client interfacing and stakeholder management
+ Project and team leadership
Ability to work in highly regulated environments

Preferred Skills

Excellent verbal and written communication Strong analytical and problem-solving abilities Experience in coaching and mentoring team members

Personal Attributes

High analytical and problem-solving skills Strong initiative and adaptability Customer-centric mindset Commitment to quality and excellence

About Us

Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.



Infosys is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability