Infosys Consulting is the worldwide management and IT consultancy unit of the Infosys Group (NYSE: INFY), a global advisor to leading companies for strategy, process engineering and technology-enabled transformation programs.

We partner with clients to design and implement customized solutions to address their complex business challenges, and to help them in a post-modern ERP world. By combining innovative and human-centric approaches with the latest technological advances, we enable organizations to reimagine their future and create sustainable and lasting business value.

A pioneer in breaking down the barriers between strategy and execution, Infosys Consulting delivers superior business value to its clients by advising them on strategy and process optimisation as well as IT-enabled transformation. To find out how we go beyond the expected to deliver the exceptional, visit us at www.infosysconsultinginsights.com Infosys Consulting - a real consultancy for real consultants.

Job Description: Principal Consultant – Data & Analytics

Role Overview: We are seeking an Principal Consultant to spearhead the strategy, design, and implementation of cutting-edge data platforms, blending traditional data rigour with advanced AI/ML capabilities. This role is for a visionary leader with deep foundational data concepts, proven success in cloud data solutions, and direct, recent experience driving modern data engineering concepts and innovation, including experience with AI agents.

Key Responsibilities (The Top 10):

1. Strategic Data Architecture & Thought Leadership: Provide executive-level

thought leadership and define the technical roadmap for enterprise-wide data

modernization, cloud migration, and AI-driven architecture adoption.

2. Cloud Data Platform Design & Delivery: Architect and lead the end-to-end

delivery of highly scalable, secure, and performant cloud-native data and analytics

solutions utilizing platforms like Databricks, Snowflake, Azure Synapse, or Amazon

Redshift.

3. AI-Agentic Data Engineering Implementation: Lead or substantially contribute to

at least one significant AI-agentic data engineering implementation within the past

six months, demonstrating expertise in leveraging AI/ML for automated data

workflow, governance, or quality optimization.

4. Foundational Data Concept Mastery: Enforce best practices in foundational data

concepts including robust data modelling (e.g., Dimensional Modelling), data

governance, lineage, and metadata management across all architectural designs.

5. Modern Data Engineering & Pipeline Development: Design and oversee the

development of complex data lakes, data warehouses, and modern ETL/ELT

pipelines using tools like Azure Data Factory, AWS Glue, PySpark, and advanced SQL,

optimizing for latency and scale.

6. Architectural Governance & Documentation: Develop, present, and gain approval

for all core architectural artifacts (conceptual diagrams, high-level and detailed

designs) through architecture review boards.

7. Expert Stakeholder Engagement: Serve as the primary technical expert, managing

expectations and communicating complex technical strategy effectively to C-level

executives, technical teams, and non-technical business partners.

8. Technical Team Mentorship & Leadership: Act as a hands-on technical mentor,

guiding and elevating consulting and engineering teams on architecture best

practices, cloud utilization, and delivery excellence in an agile environment.

9. Requirements Analysis & Solution Ideation: Lead complex requirements

gathering, opportunity assessment, and solution ideation workshops to translate

ambiguous business challenges into clear, implementable technical architectures.

Required Skills & Experience:

• 15+ years of experience in Data Engineering, Analytics, and Cloud Architecture

roles.

• Mandatory: Proven experience in a Principal Architect or Lead Engineering role

with significant architectural ownership.

• Deep Expertise: Comprehensive knowledge of major cloud data services (e.g.,

AWS: S3, Redshift, Glue, Athena; Azure: ADLS Gen2, Synapse, ADF) and/or

Databricks/Snowflake.

• Technical Proficiency: Mastery of Python, SQL, PySpark, and shell scripting for

high-volume data processing.

• Critical: Demonstrated ability to lead and successfully deliver AI and/or data

engineering projects

• Core Skills: Exceptional proficiency in stakeholder management and

presentation skills.

We offer you great opportunities within a dynamically growing consultancy. If you are looking for a progressive company where you are not just a cog in the wheel, but where you can truly shape our future and the future of our clients, then you are the right individual for this opportunity. At Infosys Consulting you will discover a truly global culture, highly dedicated and motivated colleagues, a cooperative work environment and interesting training opportunities