Executes data architecture solutions and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions and break down problems
Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
Produces data architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
Evaluates data architecture designs and provides feedback on recommendations
Represents their team in architectural governance bodies
Leads the data architecture team in evaluating new technologies to modernize the architecture using existing data standards and framework
Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of data frameworks, applications, and systems
Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
Contributes to data architecture communities of practice and events that explore new and emerging technologies
Adds to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
[Action Required: Insert 1st bullet according to Years of Experience table]
Strong knowledge of one or more software applications and data architecture development
Ability to evaluate current technologies to recommend ways to optimize data architecture
Hands-on practical experience in system design, application development, testing, and operational stability
Proficiency in coding in one or more languages
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming and database querying languages
Overall knowledge of the Software Development Life Cycle
Solid understanding of agile methodologies such as continuous integration and delivery, application resiliency, and security
Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)