Cloud Data Architect

24 hours ago

Sydney, New South Wales, Australia beBeeData Full time $160,000 - $200,000
Senior Cloud Data Architect

We are seeking an experienced Senior Cloud Data Architect to join our team in Sydney. This is a hands-on role requiring deep expertise in data engineering and solution architecture, with a strong focus on cloud-native technologies.

  • Data Engineering and Architecture:
    • Design and architect secure, high-performing, and cost-effective data solutions spanning all layers, including data ingestion, storage, compute, and visualisation.
    • Leverage cloud-native technologies such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks to build scalable, integrated, and optimised data platforms.
  • Solution Estimation and Project Scoping:
    • Take ownership of solution estimation and sizing, ensuring accurate scoping of projects and meticulous planning of delivery efforts to align with client expectations and timelines.
  • Client Collaboration and Requirement Gathering:
    • Engage closely with clients to thoroughly understand their business requirements, define comprehensive data strategies, and translate complex needs into scalable, practical solutions.
  • Data Modelling and Optimisation:
    • Develop and optimise robust data models that underpin analytics, reporting, and business intelligence, ensuring maintainability and optimal performance.
  • Data Integration and Workflow Development:
    • Construct integration workflows to ingest both structured and semi-structured data from a variety of data sources.
  • Clients Relationship Management:
    • Build and sustain strong client relationships by acting as a trusted technical advisor, offering expert guidance and strategic thought leadership.
Requirements
  • Proven 7+ years in data engineering and solution architecture within enterprise-scale environments, specialising in cloud technologies.
  • Hands-on expertise with cloud-native technologies such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks.
  • Demonstrated client-facing experience, effectively engaging with stakeholders to understand and address their needs.
  • Strong skills in solutioning and project estimation, accurately scoping and planning data engineering projects.
  • Practical knowledge of data modelling principles, including star and snowflake schemas, dimensional modelling, and Slowly Changing Dimensions.
  • Expertise in SQL and Python, with production-ready code for both batch and real-time use cases; experience with R, Scala, or Java is a plus.
  • Experience designing and implementing scalable ETL/ELT pipelines and data integration workflows.
  • Demonstrated experience leading platform migrations, particularly from Azure Synapse or similar platforms.
  • Experience in Microsoft Fabric is highly valued.
  • Strong understanding of CI/CD practices, Git branching, automated testing, and infrastructure-as-code.
  • Strong knowledge and hands-on implementation of cloud security best practices, including identity and access management, encryption, and compliance.
  • Experience monitoring cloud services and optimising performance and costs using Azure Monitor, Log Analytics, or equivalent tools.
  • Excellent communication skills with the ability to act as a trusted advisor to clients and stakeholders.

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