Data Engineering Manager
Remote - IA, United States
We are seeking an experienced and visionary Data Engineering Manager to lead the development and operational excellence of our cutting-edge self-service data platform. This role will focus on enabling teams across Workiva to seamlessly ingest, transform, and serve data, empowering innovation for application teams and providing value for our customers.
As the manager of this newly established team, you will play a pivotal role in building, growing, and shaping the team of data engineers across Europe and the US. Your leadership will drive the design and implementation of best-in-class self-service experiences that span the platform’s ingestion, transformation, and serving layers. This is a unique opportunity to influence Workiva’s data-driven future while fostering a collaborative, high-performing engineering culture.
At Workiva, you’ll have the opportunity to shape a world-class data platform from the ground up, driving innovation and incepting a transformative technology stack. Join us to make an impact, grow your career, and be part of a collaborative team that’s redefining what’s possible with data.
What You’ll Do
Team Leadership and Growth
Build and scale a diverse, distributed team of data engineers across Europe and the US
Foster a collaborative, inclusive, and high-performing culture that encourages innovation and ownership
Drive hiring efforts to attract top talent aligned with the team's mission and vision
Platform Development
Oversee the design, implementation, and continuous improvement of the platform’s ingestion, transformation, and serving layers, ensuring a seamless self-service experience for teams
Champion best practices in modern data engineering, including GitOps, automation, observability, and governance
Work closely with cross-functional teams to ensure platform capabilities meet the needs of application, analytics, and AI/ML use cases
Operational Excellence
Establish and enforce operational processes to ensure the platform is reliable, scalable, and secure
Develop and implement meaningful metrics to monitor platform adoption, quality of service, and operational health
Ensure robust monitoring, alerting, and incident management processes are in place to minimize downtime and optimize performance
Strategic Leadership
Collaborate with stakeholders to define and prioritize platform capabilities and roadmaps
Advocate for and implement scalable solutions that align with Workiva’s data strategy
Influence organizational alignment and adoption of the platform by effectively communicating its value proposition
What You’ll Need
Required Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field, or equivalent professional experience
4+ years of related engineering experience
Preferred Qualifications
Proven experience managing and scaling distributed engineering teams, ideally in a data engineering or platform engineering context
Strong expertise in data platforms, including ingestion frameworks (e.g., Airbyte, Kafka), transformation tools (e.g. dbt), and serving layers (e.g., Snowflake, Superset)
Track record of delivering high-quality, self-service data solutions in a dynamic, fast-paced environment
Exceptional leadership and team-building skills, with the ability to inspire and align a diverse group of engineers
Deep understanding of operational processes, observability, and metrics for running production-grade platforms
Strong analytical and problem-solving skills, with a focus on metrics-driven decision-making
Physical Requirements and Working Conditions
Travel up to 15% to collaborate with teams and represent Workiva at key meetings
Flexible remote work supported with reliable internet access
How You’ll Be Rewarded
✅ Salary range in the US: $129,000.00 - $207,000.00✅ A discretionary bonus typically paid annually
✅ Restricted Stock Units granted at time of hire
✅ 401(k) match and comprehensive employee benefits package
The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors.
Workiva is an Equal Employment Opportunity and Affirmative Action Employer. We believe that great minds think differently. We value diversity of backgrounds, beliefs, and interests, and we recognize diversity as an important source of intellectual thought, varied perspective, and innovation. Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression genetic information, marital status, citizenship status or any other protected characteristic. We strongly encourage and welcome people from historically marginalized groups to apply.
Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email talentacquisition@workiva.com.
Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.
Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.
#LI-HS1 ApplyJob Profile
Career growth Collaborative culture Comprehensive employee benefits Comprehensive employee benefits package Continuous improvement Discretionary bonus Employee benefits package Flexible remote work Remote work Restricted Stock Units Salary range
Tasks- Analytics
- Collaborate with stakeholders
- Collaborate with teams
- Operational excellence
- Platform development
- Strategic leadership
- Team Leadership
- Training
AI AI/ML Airbyte Alerting Analytical Analytics Automation Best Practices Computer Science Continuous Improvement Data-driven Data engineering Data Platforms Data Strategy Dbt Diversity GitOps Governance Implementation Incident Management Ingestion frameworks Innovation Kafka Leadership Management Metrics ML Monitoring Observability Operational Excellence Operational processes Organizational Platform Engineering Problem-solving Regulatory standards Security Serving layers Snowflake Strategic Leadership Strategy SuperSet Team Leadership Technology Training Transformation tools Workiva
Experience4 years
EducationBachelor's degree Computer Science Data Engineering Design Engineering Equivalent Master's degree Professional experience Related Field
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9