Lead Architect

We are currently seeking an experienced professional to join our team in the role of Lead Architect.

Business: CTO Data Technology

Principal responsibilities:

• Rapidly understand business requirements through regular interactions with the CIB Chief Data Office (CDO), business users and other subject matter experts.
• Translate business requirements into solution designs and functional requirements.
• Build technical and logical designs.
• Communicate functional solutions to the development team and provide ongoing support as needed.
• Work closely with the production support team to ensure all new software is well understood and readily supported.
• Actively promote solution architecture, best practice techniques, standards and tools.
• Provide recommendations and roadmaps for proposed solutions.
• Document and share best practice knowledge for new solutions.
• Advocate for process improvements and help develop solutions.
• Provide technical leadership to a team throughout the project lifecycle.
• Develop proof-of-concept projects to validate proposed solutions.
• Review and validate solution designs from other team members.
• Manage and define the detailed end-to-end solution design for products and features.
• Ensure the design of solutions is cost-effective and maintained through the agile development lifecycle.
• Ensure the architecture undergoes an appropriate level of assessment throughout the agile process.
• Ensure appropriate governance for any decisions when deviating from reference architectures, strategies, patterns or policies.
• Collaborate with the Enterprise, Platform and Value Stream architects to evolve the architectural strategy and roadmap.

Requirements:

• At least 5 years' experience of working within a large, complex and geographically dispersed organisation as a Solution Architect.
• Ability to think logically and abstract architectural patterns from technical solutions.
• Strong leadership and an ability to articulate, present and obtain approval for solutions.
• Experience with Streaming technologies (Kafka, Flink, Pub/Sub).
• Knowledge of application integration patterns: REST API, Microservices.
• Knowledge of database technologies: SQL / NoSQL.
• Knowledge of Data Warehousing & ETL / data integration aspects.
• Operating Systems & Scripting: Linux, Shell Scripting (Bash, AWK), PowerShell.
• Experience with any cloud platform: GCP, Azure, AWS.
• Experience with Big Data platforms: BQ, Hadoop, Spark, Databricks.
• Knowledge of containerization concepts: Docker, Kubernetes.
• Experience in designing with a good understanding of abstraction techniques.
• Proven analysis skills with the ability to challenge designs / decisions.
• Experience in managing and resolving complex issues using proven analytical and problem-solving skills.
• Ability to quickly get up to speed with the current data landscape and apply acquired analysis and data skills to new contexts and approaches.
• Excellent spoken and written communication skills.
• Strong planning, organisation and time management skills with a demonstrated ability to work to deadlines.
• Commercial acumen and ability to apply this to Business and IT data requirements.
• Self-awareness and confidence to work independently.