Senior Data Architect & Reporting Lead

We are seeking a highly experienced Data Architect and Reporting Lead to lead the design and delivery preparation of a modern 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.

The candidate must be able to translate business objectives, regulatory obligations and current reporting challenges into a practical, scalable and governed architecture.

Responsibilities

• Lead the end to end data and reporting architecture for a large scale data transformation program.
• Define the target state Data & Reporting ecosystem aligned to AWS cloud principles, business priorities and compliance requirements.
• 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.
• Create conceptual, logical and physical architecture views covering ingestion, transformation, storage, orchestration, governance, reporting and consumption layers.
• Define reporting domains, KPI standards, semantic layers, dashboards, governed self service analytics and report certification processes.
• Establish data governance principles covering ownership, stewardship, classification, lineage, quality, retention, access controls, privacy and regulatory evidence.
• Assess current state reporting platforms, data flows, manual processes, data quality gaps and duplicated dashboards to identify consolidation and modernisation opportunities.

Experience

• 12+ years of experience across data architecture, data engineering, enterprise reporting, analytics, BI or data transformation roles.
• Proven experience leading data transformation programs from current state assessment through target state architecture and implementation roadmap definition.
• Deep understanding of governed data environments, including auditability, compliance reporting, financial reconciliation, risk monitoring and operational controls.
• Hands on experience defining AWS based data architectures, including lakehouse, data warehouse, integration, orchestration, governance, security and reporting patterns.
• Experience rationalising fragmented reporting landscapes, standardising KPIs and enabling trusted enterprise dashboards.
• Ability to engage senior business and technology stakeholders and convert business outcomes into data capabilities, reporting requirements and delivery increments.

Skills

• Amazon S3, Apache Iceberg, AWS Glue, AWS Glue Data Quality, Amazon Redshift, Amazon Athena, Amazon MWAA / Apache Airflow and Amazon Sage Maker.
• Data lakehouse, data warehouse, ETL/ELT, batch and near real time data processing, source to target mapping and data reconciliation.
• Conceptual, logical, physical, dimensional and semantic data modelling.
• Metadata management, data catalogue, data lineage, business glossary, data quality rules and report to source traceability.
• Security, encryption, role based access control, data masking, privacy controls and compliance aligned data retention.
• BI/reporting tools, dashboard design, KPI standardisation, governed self service analytics and executive reporting.