Staff Data Engineer

Domain Solution Leadership

• Drive Product Value: Architect and build high-performance data solutions that directly power customer-facing features, utilizing the internal data platform (Snowflake, dbt, Kafka).
• End-to-End Execution: Lead the design and delivery of complex data projects independently, from initial discovery with stakeholders to production deployment and monitoring.
• Stakeholder Alignment: Partner with Product Managers and Business Leaders to translate customer needs into technical data requirements, ensuring "Data-as-a-Product" excellence.

Technical Integration & Evangelism

• Bridge the Gap: Work embedded with Application Engineering teams to advocate for upstream data quality and ensure application architectures support downstream data needs.
• Influence the Platform: Act as the "Lead Customer" for our internal Data Platform team—identifying gaps in the platform’s capabilities and contributing to its strategic roadmap based on product requirements.
• Best Practices: Establish and evangelize standards for data modeling, observability, and performance within the product domain.

Operational & Engineering Excellence

• Scalable Delivery: Design resilient, production-grade pipelines using DLT and Snowpipe that handle enterprise-scale workloads with low latency.
• Complex Transformations: Own the domain’s dbt layer, ensuring code is modular, tested, and optimized for high-performance serving in Snowflake.
• Mentorship: Guide and elevate Senior and Mid-level engineers on the team through code reviews, design docs, and technical coaching.

This role creates positive change by transforming data infrastructure into tangible solutions for customers, powering customer-facing applications, advanced analytics, and AI/ML features to enhance the Workiva product experience.

Minimum Qualifications

• 8+ years of experience in Data Engineering, with a strong emphasis on building solutions for customer-facing products or applications.
• Independent Execution: Proven ability to lead large-scale projects from concept to completion with minimal supervision, navigating ambiguity across multiple teams.
• Strategic Communication: Exceptional ability to evangelize data strategy to non-technical stakeholders and influence application engineers on data best practices.

Preferred Qualifications

• Mastery of the Stack: Deep expertise in Snowflake, dbt, and Kafka for building real-world, high-value data products.
• Software Mindset: Strong Python and SQL skills, with a focus on building reusable libraries, automation, and CI/CD-driven workflows.
• Product Sense: Experience working in a SaaS product environment, understanding how data latency and accuracy impact the end-user experience.
• Data Modeling: Advanced understanding of modeling for both analytical (OLAP) and application-support (high-concurrency) use cases.

✅ 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

✅ Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment

Workiva is a company that builds data-driven features and products, with a focus on transforming data infrastructure into customer solutions through their platform and engineering teams.