Cloud Data Solutions Architect

2 days ago

Sydney, New South Wales, Australia beBeeDataEngineer Full time $180,000 - $200,000
About Data Engineering RoleINGRITY is a Microsoft Data and AI Solution Partner dedicated to delivering transformative data and AI-driven solutions. We collaborate with top ASX-listed companies and medium-sized businesses, working closely with Microsoft to create measurable value for our customers.
About The PositionWe are seeking an experienced Principal Data Engineer to join our team in Sydney. This hands-on role requires deep expertise in data engineering and solution architecture, with a strong focus on the Azure data platform. You will work directly with clients to understand their requirements, design robust data solutions, and lead delivery from inception to production.
Key Responsibilities
  • Collaborate with clients to understand business requirements and translate them into scalable solutions.
  • Design end-to-end data solutions across data ingestion, processing, modelling, and analytics in the cloud.
  • Take ownership of solution estimation and sizing, ensuring accurate project scoping and planning.
  • Design and architect secure, high-performing, and cost-effective data solutions spanning all layers.
  • Leverage the full Azure data stack to build scalable, integrated, and optimised data platforms tailored to client needs.
  • Develop and optimise robust data models that underpin analytics, reporting, and business intelligence.
  • Lead the creation and implementation of data pipelines and ETL/ELT frameworks utilising modern cloud-native technologies.
  • Construct integration workflows to ingest structured and semi-structured data from various sources.
  • Establish and automate CI/CD pipelines using cloud-native DevOps tools.
  • Collaborate with internal teams and external stakeholders to ensure architectural alignment.
  • Provide technical leadership throughout the project lifecycle.
  • Monitor system performance, optimise resource utilisation, and manage costs efficiently.
  • Champion best practices in data governance and security compliance.

Technical Skills And Experience Required
  • 7+ years in data engineering and solution architecture within enterprise-scale environments, specialising in Azure technologies.
  • Proven hands-on expertise with the Azure data platform, including Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure Data Lake Storage, and Azure SQL Database.
  • Strong skills in solutioning and project estimation, accurately scoping and planning data engineering projects.
  • Expert in SQL and Python, with production-ready code for 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.
  • 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.

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