What makes Cognizant a unique place to work? The combination of rapid growth and an international and creative environment This is creating many opportunities for people like YOU — people with an entrepreneurial spirit who want to make a difference in this world.

At Cognizant, together with your colleagues from all around the world, you will collaborate on creating solutions for the world’s leading companies and help them become more flexible, more innovative, and successful. Moreover, this is your chance to be part of the success story.

Position Summary:

We are seeking an experienced Data Architect with deep expertise in Azure Data Engineering, Microsoft Fabric, Databricks, PySpark, ETL/ELT development, Data Modeling, Data Warehousing, AI/Generative AI, and cloud-based analytics platforms. The ideal candidate will be responsible for defining and implementing enterprise data architecture, designing scalable and reusable data models, and delivering modern data solutions that support analytics, reporting, machine learning, and AI-driven initiatives.

The role requires hands-on experience in designing, building, optimizing, and supporting scalable data solutions across batch, streaming, API-based, and file-based ingestion frameworks. The candidate should possess strong knowledge of conceptual, logical, and physical data modeling, dimensional modeling, star and snowflake schemas, data governance, master data management, and enterprise data integration patterns.

Experience with Microsoft Fabric, including OneLake, Lakehouse, Data Factory, Data Warehouse, Real-Time Analytics, and Power BI, is required. Additionally, hands-on experience with AI and Generative AI solutions, including Azure AI Services, Azure OpenAI, Retrieval-Augmented Generation (RAG), vector databases,



AI-powered analytics, Copilot implementations, and machine learning integration with data platforms, is highly desirable.

The successful candidate will be responsible for delivering reliable, secure, scalable, and high-performing data pipelines while collaborating with business stakeholders, solution architects, and cross-functional delivery teams in Agile and Waterfall environments. The role also includes driving data strategy, ensuring data quality, performance optimization, security, governance compliance, and enabling advanced analytics and AI capabilities across modern cloud-based data ecosystems.

Mandatory Skills:

- Proven hands-on experience in designing, architecting, developing, and delivering enterprise-scale data engineering, analytics, and AI-powered solutions using Microsoft Fabric, Azure Databricks, Databricks SQL, Databricks Workflows, PySpark, and cloud-native technologies across complex business environments.
- Strong expertise in designing and implementing scalable data architectures, distributed data pipelines, ETL/ELT frameworks, real-time and batch processing solutions, and high-performance analytics platforms leveraging modern cloud ecosystems.
- Extensive experience with Microsoft Fabric (OneLake, Lakehouse, Data Factory, Data Warehouse, Real-Time Analytics, and Power BI) and Azure Databricks, including Unity Catalog,



Delta Live Tables (DLT), Delta Lake, and Azure Data Lake Storage (ADLS) for secure, governed, and reliable data management.
- Demonstrated capability in architecting and implementing enterprise-scale Lakehouse and Data Mesh solutions, ensuring data quality, governance, lineage, security, compliance, and operational excellence.
- Strong expertise in data modeling, including conceptual, logical, and physical data models, dimensional modeling, star and snowflake schemas, data vault modeling, and semantic layer design to support analytics and business intelligence requirements.
- Proficiency in Python, PySpark, SQL, and Spark-based frameworks for developing robust, optimized, reusable, and scalable data processing and analytical workloads.
- Experience in designing and implementing AI/Generative AI solutions, including Azure OpenAI, Azure AI Services, Retrieval-Augmented Generation (RAG), vector databases, AI-powered analytics, and enterprise Copilot integrations.
- Strong experience with Azure DevOps, CI/CD pipelines, Infrastructure as Code (IaC), release management, version control, and Agile delivery methodologies to support continuous integration and deployment practices.
- Deep understanding of data architecture principles, cloud architecture patterns, performance optimization techniques, security frameworks, governance models, and cloud-native solution design for large-scale enterprise data ecosystems.
- Experience in requirements analysis, solution architecture, effort estimation, resource planning, proposal preparation, technical leadership, stakeholder management, and delivery governance for data modernization and digital transformation initiatives.
- Strong ex

📌 Data Architect – Azure Data Platform (Brisbane)
🏢 Cognizant
📍 Brisbane