Solution Architect

The successful candidate will be a key player in the design and growth of the data integration platform which supports our global Wealth businesses. The platform integrates data from a range of sources and makes them available to consuming systems servicing day-to-day operations, reporting to regulators, and management information and business intelligence stakeholders. The platform is undergoing expansion and growth through 2021 and beyond, with many new data sources to be onboarded; therefore, we require a senior data warehouse and data integration consultant who would work closely with our Data Architect and with analysis and development teams to:

assist stakeholders with their data requirements gather and manage in-depth knowledge of our data platform’s data models create and maintain data models and metadata design (but not build) changes and extensions to the platform’s data models and data flows perform impact assessment for required changes and define requirements and lead problem solving in the data architecture space bringing together people of different business and technical disciplines., Identify and assess potential data sources Carry out Impact Assessment and create user stories Define business transformation rules from source system through to consumer interface Build and maintain knowledge of data sources and what data is used by a particular Consumer Definition of data models and metadata in line with business requirements and metadata standards Validate data model is in line with projected data growth, non-functional requirements and changing consumer patterns Educate users on the platform’s capabilities, the data available, what it means and how to access it

Stakeholder Management and Leadership

Stakeholder management with all parties involved in a project ranging from programme, architecture, application SMEs, control tribes. Provide leadership to drive delivery and across a project team.

Decision-making and Problem Solving

Decision making in proposing technical direction, solving problems and recommending appropriate strategies. Candidate will be required to determine when to facilitate resolution and when to take ownership / drive resolution.

Risk and Control Objective

Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal Barclays Policies and Policy Standards.

Self-driven, proactive and demonstrates initiative with strong problem solving abilities Strongly collaborative in nature with the ability to see the whole picture Highly communicative and influential, able to manage conflict with ability to express technical complexities in accessible terms Confident and assertive in nature Skill Requirements

Essential Skills/Basic Qualifications: Data modelling (definition of data schemata) and data analysis skills in a data warehouse type environment, including both star schema and third normal form. Using ER Studio or similar tool Strong SQL skills. Comfortable at the SQL command prompt Experience of working in Financial domain with understanding of key data entities in Investments and Client domain Understand types of data schema and when to use them (3NF, star, flat, etc); mapping/translation between these Express key structural points of complex data model in accessible terms Experience understanding source data models with limited documentation and access to experts Understanding of the principles of data quality and data governance

Desirable skills/Preferred Qualifications: Strong analytical skills Experience of inferring a data model and lineage from an existing database with limited documentation Python and Pandas for data manipulation Data warehouse background Experience of data science and machine learning principles and techniques ETL tools; ability to use and enhance new tooling Amazon Web Services (AWS) - AWS Glue, Athena, S3 Data catalogue e.g. Alation Working in agile mode Graduate preferably with a technology based degree Other Requirements