JPMorgan Director Architecture Analytical Data Platforms-Executive 

United States, California, Palo Alto 

231360796

Job responsibilities

• Leads technology and process implementations to achieve functional architecture objectives
• Makes and is accountable for decisions that influence teams’ resources, budget, tactical operations and the execution and implementation of processes and procedures
• Raise the architecture and engineering bar for the team through best practices, coaching, and talent development in partnership with product teams to build and advance our strategic data roadmap
• Analyze user requirements and collaborate with stakeholders across the organization to thoroughly understand key objectives and pain points and provide meaningful architecture direction for the product and data platforms
• Conducts governance accountability for architecture and coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations
• Manage risks and achieve business targets like cost, features, reusability, and reliability to support growth
• Leverage the principles of domain drive design (DDD) and service-oriented architecture (SOA) to enable flexibility and business agility

Required qualifications, capabilities, and skills

• 10+ years of experience delivering enterprise grade architecture solutions
• Strong knowledge of software and architectural patterns and anti-patterns
• Experience designing systems for high availability, scale, and compliant data exchange by embedding controls of least privileged access methodology
• Hands-on working experience in large-scale data processing frameworks and distributed systems (e.g. Hadoop, Spark, Databricks, DBT, etc.)
• Hands-on experience within AWS, especially understanding of key data technologies such as Snowflake, Redshift, EMR, Athena, S3 and Lake Formation
• Automated data pipeline verification and data profiling, especially as it applies to migration and observability (e.g. Great Expectations, Talend, DataQ)
• Experience in modern software development technologies (Java/JS/REST) and methodologies (Agile/Scrum)
• Experience leading managers and senior technical leaders spanning developing, retaining, and growing talent – both from within and hiring
• Excellent verbal and written communication skills
• Experience driving change within organizations and managing stakeholders across multiple Lines of Businesses, Technology, and corporate functions

Preferred qualifications, capabilities, and skills

• AI/ML and/or feature engineering
• MS Degree