Staff Data and AI Platform Engineer

🕒 4 days ago

🇺🇸 United States – Remote

💵 $129k - $210k / year

⏰ Full Time

🔴 Lead

🏗️ Platform Engineer

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Workiva

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2008

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Workiva is a cloud-based, AI-powered platform that unifies financial reporting, risk and compliance management, and sustainability reporting. It enables teams to connect data across systems, collaborate in real time, automate reporting (including XBRL tagging), and maintain auditability and traceability for regulated disclosures and assurance processes. Workiva serves large enterprises and finance, legal, audit, and sustainability teams to accelerate reporting, improve accuracy, and reduce risk.

📋 Description

• 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

• 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

• 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