Staff Data & AI Platform Engineer - Remote

Workiva, Inc.; United States; On-site; USD 129,000 - 210,000; Full time

Benefits offered by this job

Restricted Stock Units

401(k) match

Job summary

Workiva, Inc. is seeking a Staff Data and AI Platform Engineer to lead the Enterprise data platform, owning design, reliability, security, and cost efficiency of account-level infrastructure while enabling domain teams to scale dbt Mesh projects safely.

You'll shape long-term platform strategy, evaluate emerging technologies, and drive buy/build/adopt decisions with leadership across multiple data domains, security, and AI teams.

Qualifications

• Bachelor's degree in CS, Engineering, Math, Finance, Statistics, or related discipline or equivalent practical experience.
• 8+ years in data or platform engineering, including 3+ years owning Snowflake account/platform operations at enterprise scale.
• Proven architectural judgment balancing standardization, domain autonomy, cost, security, performance, and buy/build/adopt decisions.

Responsibilities

• Define multi-year data platform architecture vision and roadmap; present tradeoffs to DnA and engineering leadership.
• Serve as technical decision-maker for platform-wide architectural choices: buy/build/adopt and standard-setting.
• Evaluate and pilot emerging data platform technologies; run POCs and give architectural recommendations.
• Own integration with Atlan for enterprise cataloging, lineage, and governance.
• Define integration standards for orchestration (Airflow), ingestion (Fivetran), and data sharing with guardrails.

Skills

Platform architecture

RBAC design

Security governance

Cost optimization

Leadership & mentoring

Cross-team collaboration

Education

Bachelor's degree in CS/Engineering

Tools

Snowflake

dbt Mesh

Airflow

Fivetran

Okta

Atlan

Python

S3

Job description

Workiva, Inc. is seeking a Staff Data and AI Platform Engineer to lead the Enterprise data platform, owning design, reliability, security, and cost efficiency of account-level infrastructure while enabling domain teams to scale dbt Mesh projects safely.

You'll shape long-term platform strategy, evaluate emerging technologies, and drive buy/build/adopt decisions with leadership across multiple data domains, security, and AI teams.