AddressSolution/Delivery Architect will be responsible for the design and thought leadership throughout the full life cycle of a customer's journey. The individual will have the opportunity to be engaged from pre-sales activities focusing on the development of leads, initial scoping, high level solution designing, estimation and statement of work generation. Then within the delivery phase you will work closely with our delivery teams to bridge the gap between the high level solution design and low level solution design. Supporting the delivery implementation, providing guidance and leadership. Besides the customer engagements you will look to use your experience and that of the large Solution team in assisting in the creation and design of our next generation of products and services, allowing you to develop truly impactful solutions which you will help to take to market working with internal teams and partners.
Job Requirements
- Pre Sales Activities: Work with the Sales, Client Partners and Consultants to support the development of leads, estimates, resource planning, ultimately resulting in the production of a statement of work for the customer.
- Solution Design: Creation of the high and low level designs and architecting systems in a cloud native fashion on any of the 3 major cloud providers (AWS, GCP, Azure). Provide review and quality assurance across the team’s output.
- Collaborate with delivery: Work with the DevOps, Data Engineering and Application Development delivery teams to bridge the gap between the solution designs ensuring that delivery of the solutions are inline with the requirements of the customers.
- Solution Development: Taking insight and feedback from Sales, Client Partners and industry to develop new solutions and products which will help benefit our customers. Then working with the engineering teams and in collaboration design and delivering these new solutions which can be taken to market.
- Data Solutions Subject Matter Expert: Act as an authoritative source for both internal and external queries in the space of “Data Solutions” focusing on Data Migrations, ETL Pipelines, Data Modelling and AI/ML practices.
- Continuous Learning: Set aside the time to develop skills and knowledge to broaden your experience and understanding of the Cloud and Data space. Work to share this knowledge internally and externally through evangelism, utilizing different forums and mediums,
