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 customised 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 organisations 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.

Job Description: Principal Consultant – Data & Analytics

Role Overview: We are seeking a Principal Consultant to spearhead the strategy, design, and implementation of cutting-edge data platforms that blend 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 expertise 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 modernisation, 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 utilising 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 optimisation.

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.

Why Join Us? Be part of a team that delivers cutting-edge data solutions, drives business transformation, and shapes the future of analytics. Work on strategic programs across industries, leveraging the latest technologies in cloud, AI, and big data