Job Description
We are seeking a highly experienced Data Architect and Reporting Lead to lead the design and delivery preparation of a contemporary Data & Reporting ecosystem. The role will define the future state architecture, reporting framework, data governance model and implementation roadmap aligned to the organisation AWS target state architecture.
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The candidate must be able to translate business objectives, regulatory obligations and current reporting challenges into a practical, scalable and governed architecture.
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Responsibilities
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Lead the end to end data and reporting architecture for a large scale data transformation program.
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Define the target state Data & Reporting ecosystem aligned to AWS cloud principles, business priorities and compliance requirements.
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Design a scalable lakehouse and analytics architecture using Amazon S3, Apache Iceberg, AWS Glue, Amazon Redshift, Athena, Amazon MWAA / Apache Airflow and related AWS native services.
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Create conceptual, logical and physical architecture views covering ingestion, transformation, storage, orchestration, governance, reporting and consumption layers.
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Define reporting domains, KPI standards, semantic layers, dashboards, governed self service analytics and report certification processes.
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Establish data governance principles covering ownership, stewardship, classification, lineage, quality, retention, access controls, privacy and regulatory evidence.
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Assess current state reporting platforms, data flows, manual processes, data quality gaps and duplicated dashboards to identify consolidation and modernisation opportunities.
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Experience
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12+ years of experience across data architecture, data engineering, enterprise reporting, analytics, BI or data transformation roles.
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Proven experience leading data transformation programs from current state assessment through target state architecture and implementation roadmap definition.
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Deep understanding of governed data environments, including auditability, compliance reporting, financial reconciliation, risk monitoring and operational controls.
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Hands on experience defining AWS based data architectures, including lakehouse, data warehouse, integration, orchestration, governance, security and reporting patterns.
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Experience rationalising fragmented reporting landscapes, standardising KPIs and enabling trusted enterprise dashboards.
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Ability to engage senior business and technology stakeholders and convert business outcomes into data capabilities, reporting requirements and delivery increments.
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Skills
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Amazon S3, Apache Iceberg, AWS Glue, AWS Glue Data Quality, Amazon Redshift, Amazon Athena, Amazon MWAA / Apache Airflow and Amazon SageMaker.
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Data lakehouse, data warehouse, ETL/ELT, batch and near real time data processing, source to target mapping and data reconciliation.
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Conceptual, logical, physical, dimensional and semantic data modelling.
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Metadata management, data catalogue, data lineage, business glossary, data quality rules and report to source traceability.
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Security, encryption, role based access control, data masking, privacy controls and compliance aligned data retention.
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BI/reporting tools, dashboard design, KPI standardisation, governed self service analytics and executive reporting.
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#J-*****-Ljbffr

📌 Senior Data Architect & Reporting Lead (New South Wales)
🏢 N2S.Global
📍 New South Wales