Partnering with mission-driven entrepreneurs to build Rocky Mountain technology companies of impact, utility, and value.

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead AWS Redshift Engineer at JPMorgan Chase within the Commercial Bank - Global Banking team, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics in a secure, stable, and scalable way. Leverage your deep technical expertise and problem solving capabilities to drive significant business impact and tackle a diverse array of challenges that span multiple data pipelines, data architectures, and other data consumers.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Designs and delivers trusted data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way and maintain the cloud data lake environment.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Provides recommendations and insight on data management, governance procedures, and intricacies applicable to the acquisition, maintenance, validation, and utilization of data
• Defines database back-up, recovery, and archiving strategy
• Generates advanced data models for one or more teams using firm wide tooling, linear algebra, statistics, and geometrical algorithms

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Highly skilled in the data space especially in Big Data technologies (Spark, Impala, Hive, Redshift, Kafka, etc.) and well versed in AWS
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Experience presenting and delivering visual data
• Proven track record working with AWS Redshift delivering high-performing, scalable data warehousing solutions in the AWS cloud
• Experience in migrating on-premise data warehousing solutions to cloud-based solutions, such as AWS Redshift
• Expertise in Data governance, data lineage, data quality, and data cataloging
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

• Working experience with both relational and NoSQL databases
• Advanced understanding of database back-up, recovery, and archiving strategies
• Advanced knowledge of linear algebra, statistics, and geometrical algorithms
• Strong communication and collaboration skills, including the ability to work effectively with cross-functional teams.