Lead Data Architect, Compliance Technology

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 software engineering concepts and 5 years applied experience
• Hands-on practical experience in developing conceptual logical and physical data model
• Proficiency in Designing and implementing scalable robust and secure data architectures for large-scale enterprise environments.
• Architect and optimize data pipelines and workflows using Databricks (including Delta Lake Spark and MLflow).
• Integrate Databricks with various data sources and cloud platforms like AWS
• Deep understand of Data sharing across Data Lakes using Data Mesh
• Deep understanding of Compliance and Risk domain
• Advanced proficiency in Databricks Apache Spark and Delta Lake.
• Proficiency in Python Scala or Java for data engineering tasks.
• Strong SQL and data modeling skills (relational dimensional NoSQL)
• Proficiency in automation and continuous delivery methods

• 8 years in data architecture and engineering of which at least 3 years as a data architect
• Databricks Certified Data Engineer/Architect
• AWS Cloud certifications
• Data management or governance certifications (e.g. DAMA CDMP)
• In-depth knowledge of the financial services industry and their IT systems
• Ability to evaluate current and emerging technologies to recommend the best data architecture solutions for the future state architecture
• Ability to mentor junior team members and lead architecture reviews