Lead Consultant_ Azure, ADF

Role - Lead Consultant

Technology - Azure, ADF, Databricks, Pyspark

Location - Cork, Ireland

Compensation - Competitive (including bonus)

Role Overview

We are looking for a Technical Manager - Data Engineering with strong hands on experience in Azure, PySpark, and ETL, and a solid understanding of Retail data domains. This role will be responsible for leading technical delivery, engaging with clients, translating business requirements into scalable data solutions, and owning end to end delivery across distributed teams.

Key Responsibilities

• Lead the design and implementation of cloud native data platforms on Azure using Azure Databricks, Azure Data Factory, ADLS Gen2, and Synapse
• Drive end to end ETL / ELT pipelines using PySpark, SQL, and distributed processing frameworks
• Ensure scalable, performant, and reliable data processing aligned with business and analytics requirements
• Review and govern technical architecture, data models, and transformation logic
• Lead technical discussions, solution walkthroughs, and design reviews with business and IT stakeholders
• Proactively manage technical risks, dependencies, and mitigation plans
• Work closely with business teams to understand retail processes and data consumption patterns for analytics and reporting
• Ensure data quality, reconciliation, and consistency across downstream analytics and reporting platforms
• Plan execution, track progress, and ensure on time delivery against project milestones
• Enforce best practices in coding standards, CI/CD, testing, documentation, and DevOps
• Collaborate with cross functional teams including Data Engineering, Analytics, BI, Architecture, and Product Owners

Required Skills & Experience

• 12+ years of experience in Data Engineering and Analytics platforms
• Strong hands on expertise in Azure data services, PySpark, and SQL
• Proven experience leading technical teams and driving delivery ownership
• Strong understanding of retail data domains (Supply Chain, Sales, Customer, Finance, etc.)
• Experience working in client facing roles, with excellent communication and stakeholder management skills
• Ability to work effectively across business, functional, and technical teams

Nice to Have

• Experience with large scale data modernization programs
• Exposure to BI tools, self service analytics, and downstream consumption platforms
• Experience in distributed / global delivery models

Personal

• High analytical skills
• A high degree of initiative and flexibility
• High customer orientation
• High quality awareness
• Excellent verbal and written communication skills

All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.