Senior Data Architect & Reporting Lead

About the Role

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.
• ● Develop a delivery-ready roadmap covering epics, sequencing, dependencies, risks, assumptions, transition states, implementation priorities and business readiness needs.
• ● Support architecture decisions, design reviews, delivery planning, stakeholder workshops and executive-level recommendations. Required Experience
• ● + 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.
• ● Ability to engage senior business and technology stakeholders and convert business outcomes into data capabilities, reporting requirements and delivery increments. Technical Skills
• ● Amazon S3, Apache Iceberg, AWS Glue, AWS Glue Data Quality, Amazon Redshift, Amazon Athena, Amazon MWAA / Apache Airflow and Amazon SageMaker.
• ● 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.

Requirements

• ● Primary Focus: Define a unified, scalable and governed Data & Reporting ecosystem aligned to the AWS target-state architecture, enabling trusted insights, compliance and a delivery-ready implementation roadmap.
• ● Role Summary
• ● 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's AWS target-state architecture. The successful candidate will bring strong experience in complex, data-driven enterprise environments where data quality, compliance, customer insight, financial transparency and trusted reporting are critical to business operations.
• ● The candidate must be able to translate business objectives, regulatory obligations and current reporting challenges into a practical, scalable and governed architecture. They will work closely with business leaders, compliance teams, data engineers, BI developers, platform teams and program leadership to create a delivery-ready roadmap that supports trusted insights, operational transparency and long-term data maturity.