Workiva · 1 week ago
Staff Data Engineer - Platform
United States
Full-time
Remote
Lead/Staff
$129K/yr - $207K/yr
8+ years expWorkiva is seeking a Staff Data Engineer to lead the implementation of high-value, data-driven features within their product domain. In this role, you will design and execute data solutions that power customer-facing applications, advanced analytics, and AI/ML features while partnering with Product Owners and Application Engineers.
AnalyticsBusiness Process Automation (BPA)Enterprise SoftwareGovernmentRisk ManagementSoftware
Responsibilities
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
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
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
Qualification
Required
8+ years of experience in Data Engineering, with a strong emphasis on building solutions for customer-facing products or applications
Proven ability to lead large-scale projects from concept to completion with minimal supervision, navigating ambiguity across multiple teams
Exceptional ability to evangelize data strategy to non-technical stakeholders and influence application engineers on data best practices
Preferred
Deep expertise in Snowflake, dbt, and Kafka for building real-world, high-value data products
Strong Python and SQL skills, with a focus on building reusable libraries, automation, and CI/CD-driven workflows
Experience working in a SaaS product environment, understanding how data latency and accuracy impact the end-user experience
Advanced understanding of modeling for both analytical (OLAP) and application-support (high-concurrency) use cases
Benefits
A discretionary bonus typically paid annually
Restricted Stock Units granted at time of hire
401(k) match and comprehensive employee benefits package
Company
Workiva
Workiva created Wdesk, a cloud-based platform for enterprises to collect, manage, report, and analyze critical business data in real time.
1001-5000 employees
H1B Sponsorship
Workiva has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (4)
2024 (3)
2023 (1)
2022 (3)
2021 (1)
2020 (5)
Funding
Current Stage
Public CompanyTotal Funding
$680.58MKey Investors
Bluestem Capital
2023-08-14Post Ipo Debt· $625M
2014-12-12IPO
2014-10-17Series Unknown· $0.69M
Leadership Team
Julie Iskow
President & CEO
Penny Ashley Lawrence
SVP, CPX (Customer & Partner Experience)
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