Remote Principal Data Engineer

Summary

Join Pathward as a Principal Software Engineer and lead the Data Engineering team in defining, planning, delivering, and supporting the implementation of modern data platforms. This role requires 10+ years of experience in delivering scalable, secure, and highly available technical data solutions, with expertise in various tools such as Talend, Informatica, Matillion, PowerBI, ThoughtSpot, Python, SQL Server, SSIS, No-SQL DBs, and cloud data environments like Snowflake and AWS.

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
• 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

Responsibilities

• Lead 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