Senior Enterprise Data Solutions Engineer

7 days ago

Sydney, New South Wales, Australia beBeeCloud Full time $100,000 - $199,999
Enterprise Cloud Data Platform Architect

Job Description:

  • As a seasoned Enterprise Cloud Data Platform Architect, you will design and implement an enterprise-scale cloud data platform leveraging AWS services (e.g., Redshift, Snowflake) and modern data architecture patterns (data lakes, lakehouses, and the modern data stack).
  • This role combines deep technical expertise with leadership to ensure performance, security, and scalability for all organizational data needs.
  • Purpose
    • Lead the design, build, and optimization of the enterprise data warehouse and modern data platform on AWS, enabling scalable analytics, AI, and enterprise data solutions through best-in-class architecture, automation, and governance.
    • Key Responsibilities
      • Architect and implement the enterprise data warehouse and supporting cloud infrastructure.
      • Apply modern data architecture patterns for scalability and flexibility.
      • Build Infrastructure-as-Code (Terraform) and CI/CD pipelines (Jenkins) for data engineering systems.
      • Ensure reliable, repeatable deployments through automation and testing.
      • Optimize distributed systems for large-scale batch and streaming workloads.
      • Monitor, tune, and improve query performance and storage efficiency.
      • Implement data governance frameworks, metadata management, and access controls.
      • Enforce security best practices in compliance with regulatory standards.
      • Partner with analytics, AI/ML, and business teams to align platform capabilities with strategic needs.

Skills and Expertise:

  • Deep expertise in cloud data platforms (AWS) such as Redshift or Snowflake
  • Strong background in data architecture patterns (data lakes, lakehouses, modern data stack)
  • Experience with infrastructure-as-code and CI/CD for data engineering systems (Jenkins & Terraform preferred)
  • Proficiency in distributed systems, data modelling, and performance optimisation
  • Knowledge of streaming technologies and batch processing frameworks
  • Experience with data governance frameworks and security best practices
  • Leadership experience in architecting enterprise-scale data solutions
  • Broad experience across a range of data tools and platforms, with the ability to rapidly evaluate, adopt, and shape new tools and methodologies to meet evolving needs

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