Principal Data and AI Consultant

6 days ago

Melbourne, Victoria, Australia Arinco Full time
About the Role

We are seeking a highly skilled and experienced Principal Data and AI Consultant to join our team at Arinco. As a key member of our organization, you will be responsible for leading our data engineering efforts and driving the adoption of advanced data and AI solutions on the AWS platform.

Key Responsibilities
  • Lead technical teams in designing and implementing large-scale, distributed data platforms and AI/ML models on AWS.
  • Develop and maintain data architectures that ensure data quality, governance, and security.
  • Collaborate with cross-functional teams to develop data strategies that align with business goals.
  • Design and implement scalable and cost-effective solutions for data engineering and AI/ML.
  • Provide thought leadership and education to customers on best practices around advanced data, analytics, and AI solutions on AWS.
Requirements
  • 7+ years of experience in a hands-on role in the data and technology industry.
  • Experience in data architecture and solution design for modern data platforms.
  • Recent extensive experience in Data Engineering, stretching into AI and ML.
  • Previous Consulting experience within enterprise environments.
  • 2+ years' experience in a senior hands-on data engineering role, leading technical teams.
  • AWS Certifications in: AWS Certified Solutions Architect – Professional, AWS Certified Machine Learning – Specialty, AWS Certified Data Analytics - Specialty.
Desired Skills
  • AWS Expertise: Proficiency in AWS data, analytics, and AI/ML services such as Amazon S3, Redshift, Sage Maker, Glue, Bedrock, and Amazon Q.
  • Hands-on experience with designing and implementing large-scale, distributed data platforms and AI/ML models on AWS.
  • Data Engineering and Architecture: Strong background in data engineering, including ETL processes, data warehousing, and data lakes.
  • Machine Learning and AI: Knowledge of machine learning frameworks and libraries (e.g., Tensor Flow, Py Torch) and their integration with AWS services.
  • Business Acumen: Ability to connect data, analytics, and AI solutions to measurable business outcomes.
  • Problem-Solving: Strong analytical skills to identify and solve complex data-related problems.
  • Customer Engagement: Excellent communication skills to interact with various stakeholders, including data engineers, data scientists, analysts, and business leaders.
What We Offer
  • A competitive base salary.
  • Company perks including a technology allowance of $2,500.
  • A strong learning and development culture - $2,000 per year to spend on professional courses + 2 paid days off to attend courses and exams.
  • The support of a collaborative and dynamic team.
  • Exciting start-up vibe with enterprise-level projects and clients.

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