Chief Data Solutions Architect

2 weeks ago

Sydney, New South Wales, Australia beBeeDataEngineer Full time $90,000 - $100,000

EML Group is revolutionizing the insurance industry with cutting-edge data solutions.

With over 4,000 dedicated employees, we continue to experience ongoing growth and expansion. Our goal is to provide ongoing support during the return-to-work journey.

The Opportunity

As we expand, our Technology team is growing rapidly, driving innovation in AI for Workers Compensation. We're transforming the industry with solutions that enhance claims management, improve outcomes, and streamline processes.

Job Role:

You'll join our fast-paced, forward-thinking AI team and help shape the future of intelligent solutions. You'll collaborate with data scientists, AI/ML engineers, and other specialists to design, develop, and maintain data warehouses, processing pipelines, and databases for both structured and unstructured data.

You'll work across data integration, cleaning, transformation, and database management – ensuring the data that powers our analytics, machine learning, natural language processing, and AI initiatives is accurate, accessible, and scalable.

Your Responsibilities:
  • Architect, build, and maintain secure, reliable, and scalable data warehouses and data lakes to support machine learning and AI model training, validation, testing, and production, using structured and unstructured data sources.
  • Design and implement end-to-end data processing pipelines, ETL processes, and orchestration workflows to enable efficient data integration and processing for AI/ML model development.
  • Transform raw data into clean, structured, and high-quality features for AI/ML models – including data labelling, augmentation, feature extraction, version control, validation, cleansing, and deduplication to maintain data accuracy and integrity.
  • Develop and enforce data governance, security, and compliance measures, including encryption, access controls, authentication, and regulatory requirements, to safeguard sensitive data assets.
  • Create robust monitoring, logging, and alerting solutions for data pipelines and assets, proactively identifying performance issues and delivering optimisation improvements for performance, scalability, and cost efficiency.
About You
  • 3+ years of hands-on experience in data warehousing, data lakes, ETL processes, and data modelling.
  • Strong programming skills in Python and SQL, with a solid understanding of data processing and manipulation.
  • Bachelor's degree or higher in Computer Science, Information Technology, Data Science, Engineering, or a related field.
  • Proven experience working with cloud platforms and services such as AWS S3, EMR, Redshift, Glue, and Athena.
  • Extensive experience in designing and implementing scalable data processing pipelines, with familiarity in tools like DBT and strong knowledge of database management for ML/AI projects.
What We Offer

We are committed to maintaining a workplace where everyone feels valued and respected. We believe in equal opportunities and celebrate diversity and inclusion.

Our comprehensive benefits package includes:

  • A vibrant, collaborative innovative team culture
  • Flexibility with opportunity to WFH when you are fully trained in your role.
  • A corporate wellbeing program with discounted health insurance and gym membership
  • Access to discounts at over 350 retailers through our Rewards Hub program
  • Entitlement to an annual tenure and performance-based recognition reward
  • Comprehensive learning and development support
  • Companywide events to celebrate success.
  • Quarterly Reward and Recognition Awards
  • Up to 16 weeks paid parental leave, plus super

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