Data Architect jobs in United States
info-icon
This job has closed.
company-logo

Kuda ยท 5 months ago

Data Architect

Kuda is a financial services company on a mission to make financial services accessible and rewarding for Africans. They are seeking a Data Architect to oversee the design and optimization of the organization's data architecture, ensuring it supports advanced analytics and real-time decision-making while adhering to industry best practices.

Responsibilities

Define and maintain the enterprise data architecture blueprint aligned with business strategy, DAMA-DMBOK principles, and modern data platform best practices
Collaborate with enterprise architects to ensure data architecture is fully integrated into the overall IT and business architecture
Lead the adoption of data modelling standards (conceptual, logical, and physical), including dimensional modelling and data vault methodologies
Oversee Master Data Management (MDM) strategy, implementation, and governance across domains such as Customer, Product, and financial data
Ensure architectural compliance with data governance policies, security frameworks, and regulatory requirements (GDPR, NDPR, ISO 27001)
Design scalable, secure, and high-performance data solutions across multi-cloud and hybrid environments (Azure SQL, Google BigQuery, on-prem SQL Server)
Define integration patterns for batch and streaming data ingestion using tools such as Airbyte, Azure Data Factory, and FiveTran
Oversee transformation layer design using Dataform and dbt. Cloud, ensuring version control, testing, and deployment best practices
Recommend and implement data storage strategies, including Medallion Architecture, Data Mesh, and Lakehouse patterns
Collaborate with infrastructure teams to provision infrastructure-as-code (Terraform or Pulumi) for data workloads
Partner with Data Governance teams to establish and enforce metadata management, data lineage, and business glossary standards
Define data quality frameworks and embed automated validation and anomaly detection in ingestion and transformation pipelines
Champion data stewardship practices across the business
Act as the primary authority on data architecture, advising C-level executives, engineering teams, and business stakeholders
Mentor senior data engineers, analysts, and modellers on best practices in architecture, modelling, and governance
Facilitate cross-functional workshops to align business requirements with architectural design
Stay ahead of industry trends, recommending emerging tools and patterns for modern data platforms
Continuously optimise cost, performance, and scalability of data platforms
Lead proof-of-concept initiatives for innovative data solutions, including AI- driven data management tools

Qualification

Data architecture designData ManagementData governance complianceCloud data solutionsData modelling standardsData quality frameworksInfrastructure-as-codeIndustry trend analysisMentoringCross-functional collaboration

Required

Define and maintain the enterprise data architecture blueprint aligned with business strategy, DAMA-DMBOK principles, and modern data platform best practices
Collaborate with enterprise architects to ensure data architecture is fully integrated into the overall IT and business architecture
Lead the adoption of data modelling standards (conceptual, logical, and physical), including dimensional modelling and data vault methodologies
Oversee Master Data Management (MDM) strategy, implementation, and governance across domains such as Customer, Product, and financial data
Ensure architectural compliance with data governance policies, security frameworks, and regulatory requirements (GDPR, NDPR, ISO 27001)
Design scalable, secure, and high-performance data solutions across multi-cloud and hybrid environments (Azure SQL, Google BigQuery, on-prem SQL Server)
Define integration patterns for batch and streaming data ingestion using tools such as Airbyte, Azure Data Factory, and FiveTran
Oversee transformation layer design using Dataform and dbt. Cloud, ensuring version control, testing, and deployment best practices
Recommend and implement data storage strategies, including Medallion Architecture, Data Mesh, and Lakehouse patterns
Collaborate with infrastructure teams to provision infrastructure-as-code (Terraform or Pulumi) for data workloads
Partner with Data Governance teams to establish and enforce metadata management, data lineage, and business glossary standards
Define data quality frameworks and embed automated validation and anomaly detection in ingestion and transformation pipelines
Champion data stewardship practices across the business
Act as the primary authority on data architecture, advising C-level executives, engineering teams, and business stakeholders
Mentor senior data engineers, analysts, and modellers on best practices in architecture, modelling, and governance
Facilitate cross-functional workshops to align business requirements with architectural design
Stay ahead of industry trends, recommending emerging tools and patterns for modern data platforms
Continuously optimise cost, performance, and scalability of data platforms
Lead proof-of-concept initiatives for innovative data solutions, including AI-driven data management tools

Company

Kuda

twitter
company-logo
Kuda is a fintech company on a mission to make financial services more accessible, affordable and rewarding for every African on the planet.

Funding

Current Stage
Growth Stage
Company data provided by crunchbase