Solution Architect - Financial Services

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Role Title: Solution Architect - Financial Services

Group Description: The Data & AI  Solution Architect is responsible for combining technical, commercial and industry expertise to develop solutions to complex challenges aligned to business objectives and strategy. This role involves collaborating with stakeholders to understand business problems and requirements, designing solutions including technical architectures, and guiding teams through implementation  

The focus of this role is the Financial Services industry; we are seeking deep domain expertise related to key industry challenges and opportunities, data domains and common technology systems and patterns. 

Role Description

• Lead cross functional teams to understand client business problems and organisational strategy and define solutions to these.  

• Design and document end to end architecture and solution designs, both to address specific use cases and also to create reusable solution blueprints. 

• Lead implementation of designed architectures, collaborating closely with engineering teams, data scientists, product owners with a product mindset to incrementally deliver business value from initial build through the full platform lifecycle, delivering on-time, high-quality and cost effective outcomes. 

• Mentor and coach junior architects to build capability 

• Design solutions to be compliant with data privacy, security and governance expectations 

• We would typically expect 10 years+ relevant professional experience.  

• Experience designing and delivering solutions in regulated environments, preferable within the financial services industry 

• Knowledge of the data and AI related challenges and opportunities within the  financial services industry (banking, insurance, superannuation) 

• Understanding of FS industry data domains and industry data models (e.g. BIAN) 

• Industry specific knowledge of data and AI privacy, security and governance frameworks 

Key Skills

• Deep hands on data and AI architecture and engineering (Professional level certification and experience), focused on Financial Services

• Experience working with multiple data platforms and technologies (e.g. Google, AWS, Azure, Snowflake, Databricks, Teradata, Informatica etc), with deep expertise in Financial Services

• Expertise in infrastructure as code, devops and dataops, to build platforms that are secure, automated, operable and maintainable 

• Demonstrated ability to design for performance, scalability and cost efficiency  

• Familiarity with modern architectural styles and patterns, particularly related to data and integration  

• Excellent problem-solving skills and ability to translate business needs into technical solutions 

• Experience leading multi location teams to develop and deliver technical solutions 

• Enthusiastic people developer and mentor, willing to provide technical leadership and mentorship to the next generation of architects and engineers 

• Strong stakeholder engagement and written and verbal communication skills – experience presenting solutions to executive level stakeholders, both technical and non-technical 

• Fascination with industry trends and the application of emerging technologies to drive continuous optimisation and innovation 

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