Job Description
Role – Technology Lead
Technology – ADF/Azure/ADLS/Kafka/Snowflake
Location – London
Business Unit – DNA
Compensation – Competitive (including bonus)
Job Description
We are seeking highly experienced Technology Lead in the technology domain using
Azure and Snowflake.
The ideal candidate will have a strong background in understanding business requirements, designing and reviewing technical solutions, validating architecture, and ensuring high-quality service delivery. Experience in building robust DW/BI solutions with a focus on
statistical and advanced analytics is essential. The role involves close collaboration with Architects and Business Analysts to define data requirements, create Source-to-Target mappings, and design ETL pipelines based on business documentation.
Insurance Domain Experience Is a Plus.(Commercial/Speciality Insurance)
Roles & Responsibilities
- Lead ETL and reporting design efforts; provide technical inputs to delivery teams.
- Conduct technical risk assessments, code reviews, and unit test plan evaluations.
- Translate business requirements into scalable technical solutions.
- Guide offshore teams in developing optimized, high-quality code deliverables.
- Contribute to detailed design, architecture, and implementation artifacts, including ETL development, testing support, and deployment.
- Collaborate regularly with Data Architects, Data Modelers, and Testing teams to ensure seamless delivery.
- Diagnose customer issues, design innovative solutions, and support deployment to ensure client satisfaction.
- Maintain high standards of service delivery in a regulated technology environment.
Required Skills & Experience
- Azure Data Factory, ADLS
- Mandatory: Minimum 3–4 years of strong hands-on experience in at least one of these technologies.
- Snowflake, Kafka
- Mandatory: Minimum 1–2 years of strong hands-on experience in at least one of these technologies.
- Power BI, Confluent Cloud, Microsoft Fabric, Python/PySpark
- Nice to Have: Exposure or working knowledge in any of these technologies is a plus.
- MSBI (SSIS)
- Nice to Have: Experience or familiarity is beneficial.
- SQL & Data Lakes
- Mandatory: Strong proficiency in SQL and solid hands-on experience with Data Lake architecture.
- Strong SQL skills, including complex query writing
- In-depth knowledge of Data Lakes and related modules
- Fair understanding of data modeling concepts and data products
- Familiarity with DW/BI/AI solution architecture
- Experience with Agile methodologies
- Strong client interfacing and team management capabilities
- Logical thinking, problem-solving, and collaboration skills
- Experience working in highly regulated environments
Preferred
- Should have excellent Verbal and Written Communication Skills.
- Should be excellent planner when it comes to perform release planning and other delivery planning.
- Should have excellent problem-solving skills
- Responsible for Coaching and mentoring team members
Personal
Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include:
- High analytical skills
- High customer orientation
- High quality awareness
- Excellent verbal and written communication skills
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
