Principal Data Engineer Opportunity at Workiva

Are you a seasoned technology leader with expertise in designing, building, and scaling enterprise-level data management and analytics platforms? Workiva is seeking a Principal Data Engineer to join our dynamic Data Platform team. Lead the delivery of innovative platform capabilities and fit-for-purpose solutions and drive our business to $1B+ ARR.

Key Responsibilities

Strategy

• Develop a comprehensive understanding of Workiva’s customer and market needs.
• Collaborate with key stakeholders to create a multi-year data platform strategy and roadmap.
• Define functional requirements and develop architectures including data ingestion, transformation, storage, and more.
• Champion the best-fit technology stack to meet current and future business needs.

Execution

• Design, develop, and scale robust data systems and platforms.
• Ensure data infrastructure meets quality, governance, lifecycle management, and compliance requirements.
• Implement large-scale data management and processing systems.
• Develop data extraction and integration code for various data sources using industry best practices.
• Deploy systems to integration and production environments with scalable processes.
• Monitor system health, define critical alerts, and work to improve data quality.
• Test software, validate data, and write automated tests to ensure functionality.
• Collaborate with internal and external customers to validate the completeness and correctness of data.
• Lead the team in emerging use cases and encryption requirements to maintain industry standards in data security.
• Design systems that balance data volume, latency, and customer requirements.

Qualifications

Minimum Qualifications

• Bachelor’s degree in Computer Science, Engineering, Math, Finance, Statistics, or related discipline, or equivalent experience.
• 10+ years of relevant experience in data engineering, including data warehousing, business intelligence tools, and large-scale datasets.

Preferred Qualifications

• 2-3 years of statistics experience.
• Expertise in big data processing and databases such as Snowflake, Databricks, SQL, Hadoop, Spark, Flink, and Beam.
• Experience with business intelligence reporting tools like QuickSight, Tableau, Splunk, and enterprise-scale machine learning tools.
• Proficiency in SQL query design, tuning, and scripting languages like Python and R.
• Experience with Data Lakes/Lakehouses and Agile, SRE, and DevOps processes.

Compensation and Benefits

We offer a competitive salary range in the US: $167,000.00 - $284,000.00, along with a discretionary annual bonus, Restricted Stock Units at hire, and a comprehensive 401(k) match and benefits package.

The actual salary offer will consider various factors, including skills, experience, and qualifications. Workiva embraces diversity of backgrounds and perspectives and is an Equal Employment Opportunity and Affirmative Action Employer.

If you require reasonable accommodations to apply, please email . Our employees receive comprehensive security and privacy training to ensure compliance with policies and regulatory standards.

Workiva supports flexible work arrangements, allowing employees to work from the office or remotely within their country of employment.

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