- Design AWS lakehouse, reporting and analytics architectures
- Lead data governance, KPI standardisation and reporting uplift
- Define transformation roadmaps and enterprise data strategy
Company Description
Showtime Consulting is a leading provider of Shielded Cloud and Digital Solutions across Australia and New Zealand. We specialise in delivering secure, enterprise-scale technology solutions across cloud, infrastructure, cybersecurity, DevSecOps, software engineering, data, and digital transformation programs.
We partner with government and enterprise organisations to build high-performing technology teams that deliver secure, scalable, and future-ready solutions within complex and highly regulated environments.
The Role
We are seeking a highly experienced Senior Data Architect & Reporting Lead to drive the design and delivery preparation of a modern Data & Reporting ecosystem.
This role will define the future-state architecture, reporting framework, governance model, and implementation roadmap aligned to an AWS target-state architecture. You will work closely with business and technology stakeholders to translate strategic objectives, reporting needs, compliance requirements, and current-state challenges into a scalable, governed, and delivery-ready data platform.
Key Responsibilities
- Lead end-to-end data and reporting architecture across a large-scale transformation program.
- Define a target-state Data & Reporting ecosystem aligned to AWS cloud architecture principles.
- Design scalable lakehouse and analytics architectures using AWS-native services.
- Create conceptual, logical, and physical architecture models across ingestion, transformation, storage, governance, reporting, and consumption layers.
- Develop reporting frameworks including KPI definitions, semantic layers, dashboard standards, and report certification processes.
- Define data governance models covering ownership, stewardship, quality, lineage, classification, privacy, and retention.
- Assess current-state platforms, reporting processes, and data flows to identify rationalisation opportunities.
- Drive reporting consolidation, dashboard standardisation, and self-service analytics capability.
- Support implementation planning, roadmap creation, and delivery sequencing.
- Provide architectural leadership across data, analytics, governance, and reporting initiatives.
- Engage senior business and technology stakeholders to align data capabilities with business outcomes.
- Produce architecture artefacts, standards, governance models, and implementation recommendations.
What You'll Need
- Experience across data architecture, data engineering, analytics, reporting, BI, or data transformation roles.
- Proven experience leading enterprise data transformation programs from assessment through target-state design and roadmap development.
- Hands-on experience designing AWS-based data and analytics platforms.
- Strong experience with Amazon S3, AWS Glue, AWS Glue Data Quality, Amazon Redshift, Amazon Athena, Amazon MWAA (Apache Airflow), and Amazon SageMaker.
- Experience designing lakehouse and modern data platform architectures.
- Strong understanding of data warehouse, ETL/ELT, batch processing, and near real-time data processing patterns.
- Experience with Apache Iceberg or similar modern data lake technologies is highly regarded.
- Strong knowledge of conceptual, logical, physical, dimensional, and semantic data modelling.
- Experience designing governed reporting ecosystems and enterprise analytics platforms.
- Strong understanding of KPI standardisation, executive reporting, and dashboard governance.
- Experience rationalising fragmented reporting environments and enabling trusted enterprise reporting is highly desirable.
- Knowledge of metadata management, data catalogues, lineage, business glossaries, and report traceability.
- Experience implementing data governance frameworks covering quality, stewardship, privacy, and compliance.
- Knowledge of security, encryption, role-based access control, data masking, and regulatory compliance controls.
- Experience supporting financial reconciliation, auditability, compliance reporting, risk monitoring, or operational controls is advantageous.
- Strong stakeholder engagement skills with the ability to translate business objectives into architectural outcomes.
- Excellent communication, leadership, and presentation skills.
Why Join Us?
- Lead a major enterprise data and reporting transformation initiative.
- Shape the future-state architecture for data, analytics, and reporting capabilities.
- Work with modern AWS data platform technologies and lakehouse architectures.
- Drive reporting governance, KPI standardisation, and trusted analytics outcomes.
- Collaborate with senior business, technology, and executive stakeholders.
- Join a consulting culture focused on technical excellence, innovation, and delivery success.
