Senior Data Architect & Reporting Lead

Experience: Senior / Lead-level Data Architect with solid reporting leadership experience

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.

Key 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
- 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.

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.

The role requires strong understanding of enterprise data domains, including customer activity, transactions, payments, product performance, channel performance, risk indicators, financial reconciliation and reporting-ready controls. The candidate should be able to design data structures that support commercial insight, customer analytics, operational monitoring, compliance evidence and executive decision-making.

📌 Senior Data Architect & Reporting Lead (Southern Sydney)
🏢 Tech Mahindra
📍 Southern Sydney