Senior Data Architect

We are seeking a skilled Data Architect to lead the design and development of robust data pipelines, data lakes, and data warehouse solutions. This role is ideal for a professional who thrives in a collaborative environment, brings deep technical expertise, and is passionate about delivering scalable, high-quality data solutions that drive business outcomes.

You will work closely with analysts, architects, and business stakeholders to deliver trusted, high-performance data platforms. Our team requires a talented individual with experience in designing and implementing data architecture and modelling approaches, such as Inmon, Kimball, and Data Vault.

• Design and Implement Data Architecture: Develop strong working relationships with business and technical stakeholders across projects, ensuring data quality, governance, and privacy are embedded throughout.
• Develop Strong Working Relationships: Collaborate with analysts, architects, and business stakeholders to deliver performant end-to-end data engineering solutions in a collaborative team environment.
• Evaluate and Improve Processes: Escalate issues appropriately and propose practical solutions to ensure delivery quality.
• Contribute to Team Growth: Contribute to the growth of the consulting practice through knowledge-sharing and data service initiatives.
• Implement Scalable Solutions: Design and implement scalable ETL/ELT workflows with built-in validation and error handling using modern data integration tools like Snowflake, Informatica IICS, and Python.
• Build Data Pipelines: Build and maintain data pipelines using Snowflake, Informatica IICS, Python, and other modern data integration tools.
• Integrate Central Data Stores: Integrate central data stores, data warehouses, and data lakes with analytics platforms like Power BI.
• Deliver Comprehensive Solutions: Deliver comprehensive data solutions involving governance, architecture, modelling, MDM, BI, and warehousing.
• Apply Agile Methodologies: Apply Agile and DevOps methodologies including Git, APIs, containers, microservices, and orchestration.
• Monitor Data Freshness: Monitor data freshness, completeness, and schema changes using modern observability tools.
• Implement Data Governance Frameworks: Implement data governance frameworks (e.g. DAMA-DMBOK) and ensure compliance with privacy regulations.

• Data Engineering: 5+ years of experience in data engineering, data integration, or similar roles.
• Technical Expertise: 5+ years proven experience with validated implementation of data warehouse, data lakes or similar data centralisation models with Snowflake, Informatica IDMC, SQL, Python, and MS Power BI.
• Data Architecture: Experience with design and implementation of data architecture and modelling approaches like Inmon, Kimball, Data Vault.
• Python Programming: Ability to write clean, efficient Python code for data manipulation and analysis.
• End-to-End Delivery: Demonstrated success in delivering comprehensive data solutions involving: Data governance, Architecture and modelling, ETL/ELT processes, Data lakes and warehousing, Master Data Management (MDM), and BI.
• Engineering Practices: Experience with Agile and DevOps methodologies, including Azure DevOps version control, APIs, Containers, and Microservices, and Data pipeline orchestration.
• Data Observability: Monitor data freshness, completeness, and schema changes using modern tools.
• Data Governance: Apply frameworks like DAMA-DMBOK and ensure compliance with privacy regulations.
• Security & Access Control: Implement encryption, masking, and role-based permissions for sensitive data.
• Privacy-Aware Engineering: Design systems that support anonymisation, pseudonymisation, and data minimisation.

This is an exciting opportunity for a skilled Data Architect to join our team and contribute to the growth of the consulting practice through knowledge-sharing and data service initiatives.

As a member of our team, you will have the opportunity to work on challenging projects, develop your skills, and collaborate with experienced professionals.

Please note that we do not mention company names in job descriptions.