IT Architect Specialist, AVP

Role Description

• This role is for a Senior business functional analyst for Group Architecture. This role will be instrumental in establishing and maintaining bank wide data policies, principles, standards and tool governance. The Senior Business Functional Analyst acts as a link between the business divisions and the data solution providers to align the target data architecture against the enterprise data architecture principles, apply agreed best practices and patterns.
• Group Architecture partners with each division of the bank to ensure that Architecture is defined, delivered, and managed in alignment with the banks strategy and in accordance with the organizations architectural standards.

Your key responsibilities

• Data Architecture: The candidate will work closely with stakeholders to understand their data needs and break out business requirements into implementable building blocks and design the solution's target architecture.
• AI/ML: Identity and support the creation of AI use cases focused on delivery the data architecture strategy and data governance tooling. Identify AI/ML use cases and architect pipelines that integrate data flows, data lineage, data quality. Embed AI-powered data quality, detection and metadata enrichment to accelerate data discoverability. Assist in defining and driving the data architecture standards and requirements for AI that need to be enabled and used.
• GCP Data Architecture & Migration: A strong working experience on GCP Data architecture is must (BigQuery, Dataplex, Cloud SQL, Dataflow, Apigee, Pub/Sub, ...). Appropriate GCP architecture level certification. Experience in handling hybrid architecture & patterns addressing non- functional requirements like data residency, compliance like GDPR and security & access control. Experience in developing reusable components and reference architecture using IaaC (Infrastructure as a code) platforms such as terraform.
• Data Mesh: The candidate is expected to have proficiency in Data Mesh design strategies that embrace the decentralization nature of data ownership. The candidate must have good domain knowledge to ensure that the data products developed are aligned with business goals and provide real value.
• Data Management Tool: Access various tools and solutions comprising of data governance capabilities like data catalogue, data modelling and design, metadata management, data quality and lineage and fine-grained data access management. Assist in development of medium to long term target state of the technologies within the data governance domain.
• Collaboration: Collaborate with stakeholders, including business leaders, project managers, and development teams, to gather requirements and translate them into technical solutions.

Your skills and experience

• Demonstrable experience in designing and deploying AI tooling architectures and use cases
• Extensive experience in data architecture, within Financial Services
• Strong technical knowledge of data integration patterns, batch & stream processing, data lake/ data lake house/data warehouse/data mart, caching patterns and policy bases fine grained data access.
• Proven experience in working on data management principles, data governance, data quality, data lineage and data integration with a focus on Data Mesh
• Knowledge of Data Modelling concepts like dimensional modelling and 3NF. Experience of systematic structured review of data models to enforce conformance to standards.
• High level understanding of data management solutions e.g. Collibra, Informatica Data Governance etc.
• Proficiency at data modeling and experience with different data modelling tools.
• Very good understanding of streaming and non-streaming ETL and ELT approaches for data ingest.
• Strong analytical and problem-solving skills, with the ability to identify complex business requirements and translate them into technical solutions.