Data/Information Architect

Your role

Data Architecture & Modelling:

• Design, document, and maintain enterprise data models including star schema, fact/dimension structures, and normalized dataset architectures.
• Lead transformation from denormalized to normalized/star schema designs to improve data platform performance and end-user usability.
• Define and maintain metadata, column naming conventions, mapping documents, and dataset structures for Orb datasets (e.g., Project Cost Detail, Time Sheet Posted Detail, Project Financial Summary By Period, Project Non Labour Cost Detail).
• Establish data filtering logic, global rules, and architectural standards to control dataset scope and platform performance.
• Author and maintain enterprise data governance documents including Database Naming Conventions and Objects Naming Conventions (maintained since 2020, updated through 2025).

Data Product Ownership Curated Datasets:

• Own and drive the delivery of corporate datasets.
• Prioritize and sequence dataset deployments across pre-production, UAT, and production environments.
• Ensure source to platform data accuracy and alignment with corporate reporting requirements.

Technical Leadership & Delivery Coordination:

• Create and manage Azure DevOps work items, QA tasks, sprint planning, and release activities.
• Coordinate development, QA, and deployment across data engineers, analysts, and BI developers.
• Guide the team on data fixes, release readiness, and testing priorities.
• Act as a central point for resolving blockers and accelerating delivery across cross-functional teams.
• Participate actively in daily scrum ceremonies, sprint reviews, and delivery planning.

Data Quality, Validation & Issue Resolution:

• Guide the Data team to investigate and resolve data quality issues including mismatches, missing records, schema changes impacting pipelines, and large-volume data failures.
• Drive sanity checks, validation strategies, and QA alignment across the team.
• Ensure production data accuracy and consistency for business reporting and analytics.
• Respond to and resolve production incidents, refresh failures, and stakeholder-reported data issues.

Stakeholder Support & Data Enablement:

• Serve as the primary technical expert for business users seeking to understand dataset structure, column definitions, and correct usage of curated datasets.
• Guide stakeholders in selecting between raw and curated data layers based on their requirements.
• Support integration requests from downstream applications by providing dataset scoping, documentation, and access.
• Translate business requirements into actionable data architecture decisions and dataset deliverables.

Data Governance & Security:

• Implement and advise on enterprise data access controls, Row-Level Security (RLS) models, and security rules applied via dimension tables and Power BI semantic layers.
• Manage dataset access provisioning for users and service accounts.
• Maintain and evolve standardized security models, governance practices, and the Orb security toolkit.

Documentation & Standards:

• Author and maintain enterprise-wide technical documentation including database naming conventions, data architecture diagrams, and dataset mapping documents.
• Define and enforce object naming conventions for databases, schemas, tables, views, columns, indexes, and foreign keys across the Orb platform.
• Ensure documentation is kept current through active revision cycles.

Data Platform & Architecture:

• Microsoft Azure - Azure Data Factory (ADF), Azure Synapse Analytics, Azure Data Lake.
• Microsoft Fabric - Lakehouse, Data Warehouse, shortcuts, capacity planning, One Lake security.
• Data Platform Concepts - medallion architecture (raw, integrated/ODS, curated layers), delta mode processing.
• Star Schema/Dimensional Modelling - fact/dimension design, foreign key normalization, partition strategies.
• SQL Server/Azure SQL Database - schema design, views, stored procedures, indexes, constraints.

Business Intelligence & Reporting:

• Microsoft Power BI – semantic model design, Row-Level Security (RLS), DAX, Direct Query, shared datasets, Power BI Service.
• Azure Analysis Services – tabular models, semantic layers.

Data Engineering & Integration:

• Azure Data Factory (ADF) – ETL/ELT pipelines, data flows, triggers, CI/CD.
• Profisee – Master Data Management (MDM) tooling, data mastering workflows.
• Delta Lake – medallion architecture (bronze/silver/gold layers).
• Source-to-Raw (R2I) Mapping – data mapping, profiling, transformation rules.

DevOps & Project Management:

• Azure DevOps – work item management, sprint planning, release pipelines, repository management, Git integration.

Data Governance & Modelling Tools:

• Profisee – MDM governance workflows.
• TOAD – database development and SQL querying.
• JSON – configuration files, rule-based filtering logic in Power BI.

Collaboration & Communication:

• Microsoft Teams – daily stand-ups, cross-functional coordination, stakeholder communications.
• Microsoft Outlook/M365 – enterprise communication and documentation.