JPMorgan Sr Lead Data Architect 

United States, Ohio, Columbus 

160106510

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, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 10+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability for data delivery architectures.
• 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

Preferred qualifications, capabilities, and skills

• Architecture and hands on experience in multiple data technology stacks preferable Snowflake or Databricks.
• Engineering experience with ETL/ELT software patterns and packages.
• Architecture and engineering experience with cloud based relational databases such as AWS Aurora, RDS and Postgres
• Architecture experience working with NoSql datastores specifically AWS DynamoDB and Mongodb.
• Experience with streaming platforms such as AWS Kinesis / Kafka.
• Distributed Query Engines such as Trino, Starburst, Athena etc.
• AWS Certifications for architecture and engineering