Principal Consultant

About Us:
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 56 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 businesses with agile digital at scale to deliver unprecedented levels of performance and customer satisfaction. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

Recognized as the #1 Top Employerin New Zealand for the second year in a row, Infosys offers a workplace where careers grow with purpose. As an AI-first organization, we empower our people to work on next-generation technologies, continuously learn, and create impact at scale-supported by a culture rooted in care, inclusion, and excellence.

▶Join Infosys and be part of a culture that's not just promised-it's certified. #TopEmployer2026 #ThriveAtInfosys Visit www.infosys.com to see how Infosys (NYSE: INFY) can help your enterprise navigate your next.

Role Description:

We are looking for a professional who is passionate about technology and problem-solving using technology whether it is a simple issue that enables a user to work faster or a solution that improves efficiency/productivity for a big team, it gives me immense satisfaction. The candidate should be a keen learner and should keep oneself updated with technological improvements and new technologies. The candidate should enjoy finding new innovative methods of doing things and believe that change is the only constant. If your passion is to build solutions that really make a difference to enterprises, the community and your world, Infosys is the right place for you.

Location: Auckland, NZ

Salary: $ 150742 - 171215 NZ Annual Gross

Please Note: - The above salary range is only indicative and maybe subject to suitable enhancements, based on internal company processes

Flexible working arrangements (hybrid, reviewed case-by-case basis). Feel free to connect with your recruiter to learn more about how this works in practice.

Roles and Responsibilities:

• 16+ years of Data, Analytics and AI industry experience in different phases of Information and Data driven Decision-making life cycles.
  

• Strong Data Solution Architecture understanding on AWS/Azure, Snowflake/Databricks and other tool sets like Terraform, Airflow, Collibra etc.
  

• Experience in Cloud Data warehouse Design.
  

• Skilled in driving Data and AI initiatives in sync with the Business Units, Strategy teams and Data Centre of Enablement.
  

• Strong expertise in Data Warehouse modelling for telecom domain.
  

• Experience of technology selection, team mentorship, and ensuring responsible governance of Information

• Experience of Data Engineering fundamentals.
  

• Mentoring and coaching direct and indirect reporting team members.
  

• Cloud: AWS or Azure
  

• Data Processing: Snowflake DBT, Python, AWS Glue, Kafka
  

• Data Modelling - 3NF and Star Schema, Cloud Data Warehouse Design, Data Vault modelling, Analytical Feature Store.
  

• Databricks Data processing, Unity Catalogue
  

• Programming Language: SQL, Python, Pyspark
  

• Data Platform/ Database: Snowflake, Netezza, DB2, Oracle
  

• ML Packages: Cognitive computing, scikit-learning, PySpark MLLib
  

• ML Algorithms: Predictive Algorithms for Churn, Product offer etc, Clustering/ Segmentation - for customer grouping for customer's behavioral analysis.
  

• AI Platform: Snowpark, AWS Sagemaker
  

• Data Quality and Governance with Collibra implementation experience.
  
  
• Leadership: Demonstrated leadership skills in guiding teams and driving strategic initiatives to achieve business goals.
  
• Presentation: Proficient in delivering compelling presentations to stakeholders, effectively communicating complex technical concepts and strategies
  
• Mentoring: Proven ability to mentor and coach team members, fostering a culture of continuous learning and professional development.
  
• Vision and Strategy: Strong visionary outlook in shaping AI/ML strategies aligned with organizational objectives and industry trends.
  
• Customer Understanding: Deep understanding of customer needs and behaviors, leveraging data insights to enhance customer experiences and drive business value.
  
• Business Focus: Keen business acumen with a focus on aligning AI/ML initiatives with business priorities, driving ROI and competitive advantage.
  
• Agile Ways of Working: Believes in agile ways of working in a cross functional environment balancing Innovation and Business outcomes.
  
• Delivery Specialist: Ability to manage Data and AI initiatives very effectively, ensuring timely and high-quality outcomes while meeting stakeholder expectations and objectives.
  
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