Job Description
Role - Data Architect/Lead (Senior Role)
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Skills - Azure/AWS, Databricks, Pyspark, BI tools and Dashboard.
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Location - NewCastle NSW
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Duration - Permanent
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As a Data Architect, candidate will be responsible for designing and implementing enterprise-level data architecture that supports advanced analytics, reporting, and operational needs. You will define standards for data modelling, storage, and integration across multiple Insurance related applications using Azure/AWS platforms, ensuring scalability, security, performance and implementing Business Intelligence solutions that enable data-driven decision-making across the organization.
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Key Responsibilities:
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Cloud Strategy & Integration:
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Data Quality and Data Governance:
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Must have Cross platform Data Migration experience
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Should be able to Develop current and understand existing end-to-end data architecture for data lakes, warehouses, and real-time streaming systems.
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Create conceptual, logical, and physical data models for structured and unstructured data.
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Create Source to Target mapping for ELT/ETL solutions
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Design hybrid and multi-cloud solutions leveraging Azure, Databricks, Pyspark etc
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Lead cloud migration projects and optimize cost and performance.
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Perform Data profiling
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Work closely with business stakeholders, data engineers, and BI teams to align architecture with business goals.
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Evaluate emerging technologies (AWS, Snowflake, Delta Lake) and recommend adoption strategies.
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Implement DQ practices and Data Governance rules
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Experience in metadata management and data lineage tracking.
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Design and implement BI architecture, including data models & reporting frameworks
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Collaborate with business teams to gather requirements and translate them into technical solutions
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Provide solutions to BI tools and dashboards for performance and usability
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Mentor junior engineers and enforce best practices in data engineering and reporting.
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Technical Skills:
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Data Modelling: Advanced knowledge of normalization, dimensional modeling, and NoSQL design.
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Cloud Expertise: Deep experience in Azure (ADF, databricks, Pyspark, Python) or AWS (Glue, Kafka, etc)
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Programming: Proficiency in SQL, Python, Pyspark, and Big data processing.
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Architecture Tools: ERwin, PowerDesigner, or similar modeling tools.
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Security & Governance: Familiarity with Identity Access Management (IAM), encryption, and compliance frameworks.
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📌 Data Architect (New South Wales)
🏢 Coforge
📍 New South Wales