Cloud Data Architect

2 weeks ago

Sydney, New South Wales, Australia Bebeedata Full time

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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