Data Architect III

Job responsibilities

• 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

• Formal training or certification on software engineering concepts and 3+ years applied experience
• 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.)
• Strong hands-on experience in Data modeling, Data Warehousing 
• Experience on SQL, PLSQL