Lead Data Architect- ARCHITECTURE SERVICES

Job responsibilities

• Engages technical teams and business stakeholders to discuss and propose data architecture approaches to meet current and future needs
• Defines the data architecture target state of their product and drives achievement of the strategy
• Implement processes and develop tools to enhance/automate data access, extraction, and analysis efficiency. 2
• Develop insights, methods, or tools using various analytic methods such as causal-model approaches, predictive modeling, regressions, machine learning, time series analysis, etc.
• Participates in data architecture governance bodies
• Evaluates recommendations and provides feedback for new technologies
• Executes creative data architecture solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions and break down technical problems
• Develops secure, high-quality production code and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Facilitates evaluation sessions with external vendors, startups, and internal teams to drive outcomes through probing of data architectural designs, technical credentials, and applicability for use within existing systems and information architecture

• Leads data architecture communities of practice to drive awareness and use of modern data architecture technologies

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced knowledge of architecture and one or more programming languages
• Proficiency in automation and continuous delivery methods
• Proficiency in all aspects of the Software Development Life Cycle
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience
• Advanced knowledge of one or more software, application, and architecture disciplines
• Ability to evaluate current and emerging technologies to recommend the best data architecture solutions for the future state architecture

• Ability to initiate and implement ideas to solve business problems
• Passion for learning new technologies and driving innovative solutions.