The Data Architect is a highly skilled data professional responsible for designing, developing, and implementing scalable data architecture solutions that support enterprise reporting, analytics, and business intelligence initiatives.
Responsibilities
Design, implement, and evolve AEI’s Enterprise Data Architecture, ensuring alignment with current and future business needs across operational reporting, BI, advanced analytics, machine learning, and AI-enabled data products.
Serve as the custodian of end-to-end data architecture and data lineage, ensuring traceability from source systems through transformation layers to business consumption.
Work closely with Data Engineering teams to establish robust, scalable, and reusable data ingestion and integration frameworks for enterprise data sources.
Establish and maintain enterprise data models, metadata standards, data lineage practices, and governance frameworks to enable consistent, governed, and reusable data products.
Provide technical leadership, architecture reviews, and mentorship to Data Engineers, ensuring compliance with enterprise architecture principles and best practices supporting BI, advanced analytics, machine learning, and AI workloads.
Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Responsibilities
Expected to perform independently and become an SME.
Required active participation/contribution in team discussions.
Contribute in providing solutions to work related problems.
Collaborate with cross-functional teams to ensure alignment of data platform components with business requirements.
Assist in identifying potential risks and propose mitigation strategies related to data platform design.
Design, develop, and maintain data solutions, including data architecture, pipelines, integration, and migration to support data infrastructure and operational effectiveness.
Responsibilities
Design and model application data structure, storage and integration
Create efficient data pipelines
Ensure seamless migration and deployment of data across systems
The role involves maintaining the integrity and accuracy of operational reference data, managing, validating, and optimizing data across systems to meet quality standards and support business operations.
Responsibilities
Maintain and manage operational reference data across multiple systems and databases, ensuring consistency and accuracy
Perform comprehensive data quality assurance and validation checks to identify and rectify discrepancies
Analyse data issues and implement corrective actions to resolve data anomalies and inconsistencies
Document data processes, procedures, and governance standards to ensure organisational compliance
Collaborate with cross-functional stakeholders to understand data requirements and support system enhancements
Requirements
Matric
Diploma
Degree
Postgraduate qualification in Data Analytics, Finance, Risk Management, or Business Analytics
Lead teams through client engagements focused on developing and delivering data-driven and AI-enabled strategies for large enterprises, collaborating with stakeholders to unlock growth and operational efficiency through advanced analytics, responsible AI, data governance, and technology transformation.
Locations (4)
Walnut Creek, California, United States
San Francisco, California, United States
Dallas, Texas, United States
Washington, District of Columbia, United States
Compensation
This position is also eligible for bonus compensation.
Responsibilities
Lead client engagements focused on data and AI strategy
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