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Position Summary:
Leveraging a thorough understanding of the business data requirements & own data subject matter expertise (ahead of trend), set data architecture direction & lead the agile solution design, deployment, implementation & ongoing optimization of enterprise wide data retrieval, storage and distribution across an estate.
Key Responsibilities:
- Provide hands-on support resolving issues with Cloud based infrastructure
- Providing consultancy and hands-on help to development teams designing, developing and releasing solutions to Cloud based infrastructure
- Architectural guidance on next iteration of technology stack. AWS Set Up: Account, Configuration and getting the data into the Production instance of AWS
- Meaningfully contribute & ensure solutions align to the design & direction of the Group Architecture & in particular data standards, principles, preferences & practices. Short term deployment must align to strategic long term delivery.
- Application Development including data pipeline, data storage, data analytics as well as front end and back end of technology stack
- Stay ahead of the curve on data retrieval, storage & distribution technologies & processes (global best practices & trends) to ensure best practice
- Data engineering and data lineage (data life cycle) considerations on how to manage the pipeline from source to analytics engine
- Meaningfully contribute & ensure solutions align to the design and direction of the Group Infrastructure standards and practices e.g. OLA’s, IAAS, PAAS, SAAS, Containerisation etc.
- Strategically & operationally monitor the performance of data products and services ensuring ongoing optimization & cost to value for our businesses (think bank wide)
- Take accountability for deeply understanding the technical landscape and bank wide architecture that is connected to or dependent on the business area supported in order to effectively design & deliver data solutions (architecture, pipeline etc.)
- Collaborate with data science teams & broader business & technical stakeholders to analyse customer data requirements & leverage analysis to identify & accurately spec / frame & set the appropriate data architecture for the business area
- Advise on best practice when designing and implementing Cloud based solutions
- Leverage expertise in analytical & creative problem solving to synthesise data solution designs (build a solution from its components) beyond the analysis of the problem
Required Education & Experience:
- AWS Certified Solutions Architect Professional
- AWS Certified Sysops associate
- AWS Certified DevOps Professional
- AWS Certified Dev Associate
- AWS Certified Solutions Architect Associate
- AWS Data Analytics Specialty
- PySpark
- TensorFlow