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
Custom Software Engineer
Accenture Infrastructure and Capital Projects, LLC · Posted Nov 4, 2026
Manager, Data and AI PracticeMetis Strategy · Remote, US+3 more