Staff Data and AI Platform Engineer

Workiva

Staff Data and AI Platform Engineer building Workiva’s enterprise Snowflake platform. Defining secure, governed infrastructure and AI-agent data foundations for complex organizations.

Posted 8/10/2026full-timeRemote • 🇺🇸 United StatesLead💰 $129,000 - $210,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Snowflake platform operations, data architecture design, and data governance, with a strong focus on technical decision-making and cross-domain collaboration. Proven ability to mentor engineering teams and drive alignment on architectural standards and best practices.

Highest-signal resume keywords

Snowflake Platform OperationsData Architecture DesignData GovernanceRBAC Model DesignAdvanced SQL Query Design

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data Platform ArchitectureTechnical Decision-MakingPerformance TuningPython ScriptingDbt CoreDbt MeshAWS Data ServicesAnalytical Agent EvaluationAgile/Sprint MethodologyCross-Functional Initiative Leadership

Soft Skills

Excellent Verbal/Written CommunicationStrong Planning and PrioritizationAbility to Influence Technical DirectionComfort Navigating Ambiguity

Tools & Technologies

AirflowFivetranAtlanMCP Server InfrastructureBI ToolsOktaQuickSightTableauOmniSigma

Certifications & Qualifications

SnowPro Certification

Industry Keywords

Data GovernanceFedRAMP ComplianceSaaS Business ExperienceEnterprise Data PlatformsData Mesh Patterns

Tech Stack

Tools & technologies

AirflowAWSCloudETLPythonSQLTableau

About the role

Key responsibilities & impact

Define the multi-year data platform architecture vision and roadmap
Present tradeoffs and sequencing to DnA and engineering leadership
Serve as technical decision-maker for platform-wide architectural choices, technology evaluation, and cross-domain standards
Evaluate and pilot emerging data platform technologies, run POCs, and develop architectural recommendations
Drive alignment across Data Engineering, Analytics Engineering, AI/ML Platform, Security, and Data Ops
Mentor data and analytics engineers, define engineering standards, review designs and PRs, and grow platform competency
Define and maintain Snowflake platform standards, including naming, schema/database layout, warehouse tiers, role hierarchy, and promotion patterns
Own the RBAC permission model, service-user provisioning, access patterns, and least-privilege controls
Design and evolve dbt Mesh and data mesh boundaries across business domains
Configure and operate Snowflake account infrastructure, including warehouses, resource monitors, query tags, replication, account parameters, Iceberg, External Access Integration, and compute pools
Own Atlan integration for enterprise data cataloging, lineage, and metadata lakehouse governance
Define integration standards for Airflow, Fivetran, data sharing, and ELT tooling
Design Snowflake data architecture for AI/agentic workflows and LLM pipelines
Build and operate MCP server infrastructure exposing Snowflake data to AI agents and LLM workflows
Own the analytical agent evaluation framework and automated testing
Partner with GRC and Security on FedRAMP controls, data sanitization, masking, and security reviews
Drive query-tag attribution, warehouse sizing strategy, and showback alignment
Enable BI, business/AI applications, analyst, and developer data consumption through Snowflake connectivity and performance tuning
Define standards for reverse-ETL and operational workloads, delegating execution to domain teams within guardrails

Requirements

What you’ll need

Bachelor's degree in Computer Science, Engineering, Math, Finance, Statistics, or related discipline (or equivalent practical experience)
8+ years in data or platform engineering
3+ years owning Snowflake account/platform operations at enterprise scale
Demonstrated architectural judgment balancing standardization, domain autonomy, cost, security, performance, and buy/build/adopt decisions at enterprise scale
Technical RBAC model design and service-user provisioning
SSO/Okta integration for Snowflake
Semantic layer design on Snowflake
MCP server or equivalent AI data gateway infrastructure for LLM-powered workflows
Analytical agent evaluation frameworks
Data governance, including row/column masking, secure views, Atlan cataloging, and FedRAMP/SOX compliance-boundary design
Advanced SQL query design and tuning in Snowflake
AWS data services, including S3, IAM, and Secrets Manager
Python or scripting for platform automation and provisioning
dbt Core or Cloud and dbt Mesh or multi-project data mesh patterns
BI/analytics tools such as QuickSight, Omni, Sigma, or Tableau
Orchestration/ingestion tools such as Airflow, Fivetran, or Workato
Performance and cost optimization using warehouse tuning, query analysis, resource monitors, and query tags
Agile/Sprint environment experience
Excellent verbal/written communication
Ability to translate platform strategy for business, technical, and executive audiences
Ability to influence technical direction and drive alignment without direct authority
Strong planning and prioritization
Comfort navigating ambiguity and driving decisions with incomplete information
Experience leading or contributing to cross-functional initiatives
SaaS or subscription-based business experience
Track record scaling enterprise data platforms across multiple business domains
Reliable internet access for remote working opportunities
Must be authorized to work in the U.S. on a permanent basis
SnowPro certification is preferred, not required

Benefits

Comp & perks

A discretionary bonus typically paid annually
Restricted Stock Units granted at time of hire
401(k) match
Comprehensive employee benefits package
Remote work from any location within the employee's country of employment
Reasonable accommodations for applicants with disabilities