VP – Solution Architect
| Company | Synchrony Financial |
|---|---|
| Location | Newport Beach, CA, USA, Bentonville, AR, USA, Stamford, CT, USA, Dallas, TX, USA, Chicago, IL, USA, Altamonte Springs, FL, USA, Alpharetta, GA, USA, New York, NY, USA, Draper, UT, USA, Cincinnati, OH, USA |
| Salary | $135000 – $230000 |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior, Expert or higher |
Requirements
- Bachelor’s degree and a minimum 7+ years of experience in multiple IT areas or in lieu of a degree, high school diploma/GED and 10+ years of experience in multiple IT areas
- Minimum of 7 years of data engineering implementation experience in using PySpark, Ab-Initio, other ETL technologies in conjunction with high volume Hadoop environments on-prem or public cloud such as Redshift in AWS, AWS Glue/Athena
- Minimum 7 years of experience in Business Intelligence (BI) application architecture and design, data architecture frameworks, data model design in context of Oracle, or AWS Redshift, AWS Glue/Athena, and implementation experience on-prem or AWS of data quality, data profiling, master data management, metadata management and integration with data catalogues such as Collibra or similar technologies with a strong understanding of associated patterns, processes and tools in a complex environment in a large organization
- Minimum 2 years of experience in managing a solution architecture function in AWS environment and leading a matrixed geographically distributed team
- Hands-on experience with DevOps and delivery pipeline
Responsibilities
- Act as the Lead Solution Architect for the critical business initiative to develop an enterprise curated data store for analytic model development in AWS in compliance with regulatory requirements and contractual obligations using specific framework, platform, or tech-stack and effectively communicating the solution & collaborating with stakeholders
- Get involved in a project early, when analysts start developing requirements, and then remain involved till the end, provide detailed periodic updates to all stakeholders
- Examine the current systems architecture, and work with business and technical staff to recommend solutions that result in more effective systems by selection of the most appropriate technology for a problem, and balance architectural concerns of the project with the business considerations of the enterprise
- Evaluate which patterns, methods and tools will be most effective and productive, define how the application will look and feel, what the components will be, and how they interact with each other, future scalability, and maintainability of the application
- Evaluate advantages and risks in third-party frameworks/platforms
- Oversee the programming, integration, and testing of software systems and associated artifacts
- Ensure the execution of the vision by providing appropriate level of direction to the designers and developers on how to build the prescribed solution
- Mentor other solution architects organize the development effort and often provide motivation and guidance to the entire development team for continuous improvements during the Agile execution process
- Participate in PI Planning and Pre- and Post-PI Planning, System and Solution Demos. Work with Enterprise Architect, to develop, analyze, split, and realize the implementation of enabler epics
- Responsible for defining and communicating a shared technical and architectural vision for the Agile Release Train (ART) to help ensure the system or Solution under development is fit for its intended purpose
- Participate with cross-functional teams in implementing policies and procedures related to Scaled Agile Framework (SAFe) and be an advocate in adopting Agile and SAFe best practices and processes
- Execute special projects as assigned
- Perform other duties and/or special projects as assigned.
Preferred Qualifications
- Strong working knowledge of fintech Industry as it relates to consumer financing
- Experience with data engineering of curated data stores to support analytic model development in AWS requiring high quality, traceable, auditable data assets
- Experience with validation of technology assumptions, evaluating implementation alternatives, and creating the Continuous Delivery Pipeline
- Critical thinking and creativity in building and deploying data engineering applications on cloud platforms and working knowledge of cloud migrations
- Strong ability to collaborate in a matrixed organization & respectfully communicate with multiple stakeholders with ability to listen as well as direct technical teams and partner with those teams in elaborating the solution.