Sr Data Engineer

Thrivent is committed to helping people be wise with money and live balanced and generous lives. As a Sr Data Engineer, you will be a technical expert responsible for designing and developing critical software solutions, collaborating with teams, and mentoring junior engineers. Your role will involve driving outcomes through software engineering best practices and participating in technology vendor selection and talent recruitment.

Responsibilities:

• Designing Solutions
• Apply technical knowledge to drive outcomes for customers Ability to work and problem solve independently on initiatives that align to the broader software engineering strategy
• Developing Software
• Member of team that can work independently, as well as collaboratively with team, in developing core software for the product that delivers outcomes. Consistent and dependable in delivering core software that delivers outcomes and meets/exceeds the teams expectations for stability, scalability, resilience, etc
• Learning and Applying New Techniques
• Shares new ideas and techniques with team; Encourages junior engineers to invest in learning as a part of their job
• Collaborating within the Team
• Participate in team’s collaboration sessions to provide technical expertise to solve a problem/remove technical roadblocks for the teamParticipate in product planning and implementation. Helps team to understand and decompose work
• Defining Engineering Standards and Patterns
• Contribute to develop engineering practices, templates and frameworks in collaboration with the team
• DevOps
• Continuously assessing technology to build more stable, scalable, and resilient software; Use data to measure progressPromote and expand on the use of the CI/CD pipeline to improve the deployment and build process. Participates in the team support rotation and provides expert knowledge on focus subsystems
• Selecting & Managing Technology Vendors
• Contribute to define the selection criteria for selecting the right technology vendors . Participate in proof of concept / technology along with the vendor
• Coaching Engineers
• Provide guidance to junior engineers to help them learn foundational software engineering skillsProvide technical expertise and help the team to solve technical/software issuesProvide trainings to the junior developers and groom themProvide domain expertise on software products in their area to junior engineers to help them learn/grow their skills and contribute as part of the team
• Recruiting/Building Talent
• Engage in the tech community to build the Thrivent technology brand and position as the employer of choice in the marketParticipate in the interview process or be part of the panel to recruit the right talent to the teamContribute to the recruitment to define the structure of the interview process to hire the right talent to the team. Models Thrivent’s leadership competencies – courage, collaboration, and commitment by demonstrating resiliency, working together to make the best decisions, and holding yourself and others accountable. Supports and/or develops an environment in which Thrivent employees and colleagues are focused on continuous improvement, exceptional employee engagement, and an unwavering commitment to our clients. Shapes and/or supports a culture that represents the Thrivent purpose, promise and values, ensuring that Thrivent’s trust and reputation remain strong with its clients

Requirements:

• Bachelor's degree in Computer Science or other technical field or equivalent work experience
• 7+ years of experience in engineering environments, taking abstract concepts and ideas and formulating a detailed software engineering plan to deliver
• Over 4 years of experience in leading data engineering initiatives, with a strong focus on delivering scalable and efficient data solutions
• More than 4 years of technical leadership and architectural expertise in complex data-driven environments
• 4+ years of experience designing and developing reusable frameworks to streamline and standardize data engineering processes
• Extensive hands-on experience (5+ years) with technologies such as Apache Spark, Databricks, DBT, Python, and Airflow
• Experience architecting software solutions with requirements such as performance SLOs, high availability, reliability, security, etc
• Solid hands‑on experience with observability practices and tooling (logs, metrics, and traces) to support root‑cause analysis and incident response
• Proven expertise in debugging production issues, including analyzing complex code paths and large‑scale log data to troubleshoot and resolve product defects
• Proficiency in managing large scale projects and the ability to articulate and transfer complex ideas to a wide audience through both verbal and written communication
• Expert knowledge/experience with querying databases for complex data lookup/update
• Perform code reviews with associate team members
• Financial Services industry experience
• Coach / mentor other team members as appropriate