Principal Software Engineer - Remote

Overview

We are looking for a Principal Software Engineer to be part of our Enterprise Information Management team to drive and enable our data capabilities in the transformation of our company into a data-driven organization and help lay the foundations of a robust data program.

In Short

• Leads a Data Engineering team with responsibility for planning, prioritization, architectural & business alignment, quality, and value delivery.
• Develops flexible, maintainable, and reusable Data Engineering solutions using standards, best practices, and frameworks with a focus on efficiency and innovation.
• Solves complex development problems leveraging good design and practical experience.
• Continually looks at ways to improve existing systems, processes, and performance.
• Leads and participates in planning and feature/user story analysis by providing feedback and demonstrating an understanding of business needs.
• Solves business problems by implementing technical solutions based on solid design principles and best practices.
• Identifies and contributes to opportunities for departmental & team improvements.
• Documents software, best practices, standards, and frameworks.
• Mentors staff by providing technical advice, helping with issue resolution, and providing feedback.
• Contributes as a subject matter expert in technical areas.
• Keeps up to date with current and future changes in tools, technology, best practices, and industry standards through training and development opportunities.
• Identifies and leads learning and training opportunities for other team members and staff.
• Perform other duties as assigned.

Requirements

• Bachelor’s degree or equivalent experience
• 10+ years delivering scalable, secure, and highly available technical data solutions
• 5+ years of experience designing and building Data Engineering pipelines with industry leading technologies such as Talend, Informatica, etc.
• Extensive SQL experience
• Experience with ELT processes for transformation push down and data replication using tools such as Matillion
• Experience with Data Visualization tools such as PowerBI, ThoughtSpot, or others
• Experience with Python
• Experience with SQL Server, SSIS, and No-SQL DBs preferred
• 3+ years of complex enterprise experience leading distributed Data Engineering teams
• 3+ years of experience in cloud data environments leveraging technologies such as Snowflake and AWS
• 3+ years of banking or financial services and products domain experience. We will consider experiences in similar or comparable domains as well.
• Multiple successes driving Data Engineering in an agile environment (preferably with Kanban)
• Prior experience designing and/or optimizing processes to ensure operational excellence
• Experience with automated testing capabilities with Data Engineering preferred
• Ability to communicate effectively with all levels in the company; this includes written and verbal communications as well as visualizations
• Ability to collaborate in a team setting and work towards a common goal
• Ability to influence stakeholders to consider alternate viewpoints
• Ability to mentor and coach technical resources on Data Engineering guidelines and principles
• Strong data architecture, critical thinking, and problem-solving abilities, along with an ability to handle ambiguous, and evolving requirements
• Ability to navigate and work effectively across the organization to influence, inspire, and lead others around decisions that propel the organization towards set vision and goals

Benefits

• Comprehensive benefits package including health insurance, 401(k) retirement benefits, life insurance, disability benefits, paid time off, and more.