Data Domain Lead Architect

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 
• 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
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on Architecture concepts and 10+ years applied experience with a strong understanding of data modeling, database design, and data management.
• Hands-on practical experience on complex system design, resiliency models and data governance
• Knowledge of using AI to improve data models
• 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
• Familiarity with cloud-based data solutions and big data technologies.
• Proficiency in data modeling tools, SQL, NoSQL databases, ETL processes, and data warehousing solutions.
• Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
• Experience with data governance and compliance standards.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.

• 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
• Relevant certifications such as Certified Data Management Professional (CDMP) or AWS Certified Data Analytics are a plus