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Data Architect

Auckland, New Zealand | $200,000 per annum | Permanent


  • Title: Data Architect
  • Company: Necta
  • Rate: $200,000 per annum
  • Visa Type: NZ Work Visa
  • Work Policy: All Options

Description

Working with a large global consultancy on an exciting transformation project.


We are seeking an experienced Enterprise Data Architect – Gen AI to lead and shape the AI-driven data transformation initiatives for a leading airline in the APAC region. Join a high-performing team in a cutting-edge project leveraging MACH architecture and DORA framework for DevOps.

Responsibilities

Key Responsibilities:


  • Design scalable and efficient AI system architectures tailored to project needs.
  • Ensure the quality and availability of training data through robust data management practices.
  • Develop and fine-tune generative models, including GANs, VAEs, and LLMs.
  • Deploy and monitor AI models in production environments to optimize performance.
  • Address ethical considerations in AI development, including bias mitigation.
  • Stay abreast of advancements in AI/ML and integrate the latest technologies into solutions.
  • Collaborate with data scientists, engineers, and other stakeholders for seamless implementation.
  • Mentor and train junior team members, fostering collaboration and a one-team culture.


Technical Skills & Expertise:


Must-Have Competencies:


  • AI/ML Expertise: Proficiency in designing, training, and deploying machine learning and deep learning models.
  • Generative Models: Experience with GANs, VAEs, and LLMs like Azure OpenAI, OpenAI, or similar.
  • NLP Skills: Expertise in natural language processing for text generation, translation, and sentiment analysis.
  • Data Engineering: Proficiency with tools such as Snowflake, FiveTran, DBT, Alation, Airbyte, Airflow, and AWS S3.
  • BI & Reporting: Hands-on experience with Power BI, MicroStrategy, and Snowflake.
  • Programming: Proficiency in Python, Java, or Scala.
  • Database Management: Strong knowledge of relational (MySQL, PostgreSQL) and non-relational (MongoDB, Cassandra) databases.


Good-to-Have Competencies:


  • Cloud Platforms: Knowledge of AWS and Azure.
  • Airline Domain Experience: Familiarity with airline operations and systems.


What We Offer:


  • Be part of a customer’s digital transformation journey.
  • Work in a collaborative, self-managed agile team environment.
  • Opportunity to lead and mentor a team of 2-5 data analysts, engineers, and scientists.


Why Join Us?


  • Participate in a transformative project with a leading APAC airline.
  • Collaborate on critical business and data applications aligned to MACH architecture.
  • Thrive in a team that values collaboration, empathy, and innovation.


Qualifications:


  • At least 15 years of experience in data engineering, AI/ML, and generative AI technologies.
  • A proven track record in deploying AI models and managing complex data ecosystems.


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