Data Architect

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August 19

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Kuda

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Fintech • Banking • B2C

Kuda is a digital banking platform designed to provide seamless and free financial services primarily for Africans. The app facilitates free transfers, cashless payment options, and interest-earning on savings. Kuda offers features such as bill payment, gift card purchasing, and budgeting tools. It provides users with a Kuda debit card for online and offline transactions, offering a simple solution for managing finances. The platform also supports businesses with tools like POS systems, invoicing, payroll, and business loans. Licensed under various financial authorities, Kuda expands its services across Nigeria, the UK, Canada, and soon Uganda, aiming to offer convenient banking with transparency and customer-focused solutions.

51 - 200 employees

Founded 2019

💳 Fintech

🏦 Banking

👥 B2C

📋 Description

• Data Architect to oversee design, governance, and optimisation of our organisation’s data architecture; blend strategic vision with practical expertise in modern data engineering; ensure data ecosystem supports advanced analytics, AI, and real-time decision-making; adhere to DAMA-DMBOK. • 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.

🎯 Requirements

• 10+ years in data-focused roles, with 3+ years in data architecture or enterprise architecture positions. • A Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field is required. • DAMA-DMBOK knowledge required; CDMP (Certified Data Management Professional) or equivalent certification preferred. • TOGAF, Zachman, or Certified Enterprise Architect certification is an advantage. • Advanced expertise in data modelling (conceptual, logical, physical) and MDM frameworks. • Strong SQL skills with proven experience in Azure SQL, Google BigQuery, and Microsoft SQL Server. • Hands-on experience with ingestion: Airbyte, Azure Data Factory, Fivetran; transformation: Dataform, dbt Cloud; processing: Apache Beam/Dataflow, Spark; streaming: Kafka, Pub/Sub, Spark Streaming, or Flink; modern data architectures (Medallion, Data Mesh, Lakehouse); orchestration tools (Airflow, Cloud Composer, Workflows); infrastructure-as-code (Terraform, Pulumi); data security and compliance best practices. • Preferred Skills: Experience in cloud cost optimisation for data workloads; data catalogue tools such as Collibra, Alation, or Data Catalogue; BI integration (Looker, Power BI, Data Studio); ML pipelines (Vertex AI, MLflow). • Data Stack: Databases: Microsoft SQL Server, Azure SQL, Google BigQuery; Ingestion: Airbyte, Fivetran, Azure Data Factory; Processing & Modelling: Dataform, dbt Cloud, Apache Beam/Dataflow, Spark; Visualisation: Looker, Data Studio; Cloud: Azure, Google Cloud Platform; Orchestration: Airflow, Cloud Composer, Workflows; IaC: Terraform, Pulumi.

🏖️ Benefits

• A great and upbeat work environment populated by a multinational team • Pension fund • Competitive annual leave plus bank holidays • Competitive paid time off (Parental, Moving day, Birthday, Study leave etc) • Medical Aid • Award winning L&D training