What you’ll be doing
• Lead End-to-End Data Lifecycle: Own and manage the complete data lifecycle—from capturing learning interaction data to delivering consolidated insights—ensuring data is accurate, accessible, and actionable.
• Architect Scalable Data Solutions: Design and implement enterprise-grade data pipelines and architectures using AWS services (e.g. S3, Glue, Lambda, Redshift, EMR, Kinesis), optimised for analytics and scalability.
• Set Technical Direction: Define and guide technical decisions related to data conceptualisation, modelling, and visualisation within the organisation’s analytics ecosystem.
• Champion Data Governance and Access: Drive visibility into data usage and access, ensuring secure, compliant, and transparent data practices across the organisation.
• Communicate with Impact: Translate complex technical concepts into clear, non-technical language for business stakeholders and internal customers.
• Act as a Subject Matter Expert: Serve as a go-to expert in data architecture, resolving complex issues and fostering thought leadership and technical excellence.
• Drive Standards and Best Practices: Lead the implementation of architectural guidelines and frameworks, ensuring alignment with strategic objectives and consistency across solutions.
• Monitor and Optimise Services: Define and oversee service metrics, collaborating with stakeholders to meet performance standards and client expectations.
• Innovate and Evolve Architecture: Spearhead the conceptualisation and development of innovative data services and products, aligned with evolving business needs.
• Mentor and Develop Talent: Coach and support experienced professionals, building current and future capabilities within the data architecture team.
• Lead Continuous Improvement: Identify and implement process enhancements to improve the efficiency, quality, and agility of data architecture practices.
• Cloud Governance : Utilize tools such as IAM, resource tagging, cost management, etc. to enforce AWS governance policies and implement monitoring and alerting solutions to address issues proactively.
Experience Required
1. Solution Focused Achiever -This behaviour sits within the connected to customers part of the Connected Leaders Model. Being a Solution-focused Achiever means that you always deliver your ambitious goals, outcomes and timelines. It also means that you cut through complexity and obstacles to get to the right ethical solution at the right time
2. Change Agent - This behaviour sits within the connected to people part of the Connected Leaders Model. Being a Change Agent means that you identify, create and lead smooth business changes. It also means that you adapt quickly and perform effectively – even when there’s ambiguity
3. Team Coach - This behaviour sits within the connected to people part of the Connected Leaders Model. Being a Team Coach means that you coach and develop your people.
4. Decision Making -Gathers information, and analyses different scenarios, assesses alternative resolutions and reaches a decision • A bachelor’s degree in computer science, information technology, or any relevant field A master's degree is preferred but not mandatory.
5. AWS Solutions Architect, Associate or Professional, is good to have and holds high weight.
6. Strong knowledge of cloud concepts, architecture patterns, and best practices
7. Proven experience in designing, implementing, and maintaining AWS solutions
8. Hands-on experience with any cloud, preferably AWS, is preferred.
9. Extensive background in software architecture and solution design, with deep expertise in microservices, distributed systems, and cloud-native architectures.
10. Advanced proficiency in Python and Apache Spark, with a strong focus on ETL data processing and scalable data engineering workflows.
11. In-depth technical knowledge of AWS data services, with hands-on experience implementing data pipelines using tools such as EMR, AWS Glue, AWS Lambda, Step Functions, API Gateway, and Athena.
12. Proven experience in designing and delivering Lakehouse architectures, enabling unified analytics across structured and unstructured data.
The skills you'll need
• A bachelor’s degree in computer science, information technology, or any relevant field A master's degree is preferred but not mandatory.
• AWS Solutions Architect, Associate or Professional, is good to have and holds high weight.
• Strong knowledge of cloud concepts, architecture patterns, and best practices
• Proven experience in designing, implementing, and maintaining AWS solutions
• Hands-on experience with any cloud, preferably AWS, is preferred.
• Extensive background in software architecture and solution design, with deep expertise in microservices, distributed systems, and cloud-native architectures.
• Advanced proficiency in Python and Apache Spark, with a strong focus on ETL data processing and scalable data engineering workflows.
• In-depth technical knowledge of AWS data services, with hands-on experience implementing data pipelines using tools such as EMR, AWS Glue, AWS Lambda, Step Functions, API Gateway, and Athena.
• Proven experience in designing and delivering Lakehouse architectures, enabling unified analytics across structured and unstructured data.
Our leadership standards
Looking in:
Leading inclusively and Safely
I inspire and build trust through self-awareness, honesty and integrity.
Owning outcomes
I take the right decisions that benefit the broader organisation.
Looking out:
Delivering for the customer
I execute brilliantly on clear priorities that add value to our customers and the wider business.
Commercially savvy
I demonstrate strong commercial focus, bringing an external perspective to decision-making.
Looking to the future:
Growth mindset
I experiment and identify opportunities for growth for both myself and the organisation.
Building for the future
I build diverse future-ready teams where all individuals can be at their best.