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

Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference.

As a Lead Data Engineer at JPMorgan Chase within the Corporate and Investment Bank's Trust & Safety group, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Generates data models for their team using firmwide tooling, linear algebra, statistics, and geometrical algorithms
• Delivers data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way
• Implements database back-up, recovery, and archiving strategy
• Evaluates and reports on access control processes to determine effectiveness of data asset security​ with minimal supervision
• Adds to team culture of diversity, equity, inclusion, and respect.
• Designs database systems and management tools.
• Installs, updates, and maintains databases used by the application.
• Assesses database performance / resiliency / availability / scalability by developing protocols to measure results and identify problem areas.
• Supports database performance / resiliency / availability / scalability by monitoring, evaluating, and resolving processing and programming problems.
• Secures database by preparing access and control policies and procedures and implementing disaster recovery procedures.
• Supports application design by contributing expertise on database technologies to the development teams.

Required qualifications, capabilities, and skills

• Formal training or certification on data engineering concepts and 5+ years applied experience in database administration & database architecture
• Experience in relational / no-sql data modeling
• Working experience with both relational and NoSQL databases​
• Experience and proficiency across the data lifecycle
• Experience with database back-up, recovery, and archiving strategy
• Proficient knowledge of linear algebra, statistics, and geometrical algorithms
• Primary Database(s) - Oracle , Cassandra , Secondary Database - AWS Dynamo DB
• Relational & No-SQL data modeling
• Advanced knowledge of database security, performance standards, and backup and recovery
• Advanced knowledge of data replication
• AWS Database Specialty Certified preferred but not mandatory

• A bachelor’s degree in business, computer science or a related field
• Experience with data replication technologies
• Cassandra Certification Preferred