Workiva

Workiva

Senior Data & AI Platform Engineer

USA - Remote · Senior

Sponsorship not specified$111k-$178kDetected 7 hours ago
PythonCode ReviewSQLSnowflakeAWSPlatform EngineeringMachine LearningAirflowdbtData EngineeringData VisualizationLLMsAgentic AIStatisticsComplianceSalesforceCommunicationCollaborationProblem SolvingMentoring

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odds of building a lasting career here

54Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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About the role

  • Minimums and maximums may vary based on location.
  • The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors.

Responsibilities

  • Build and maintain Snowflake platform infrastructure: Configure and operate warehouses, resource monitors, query tags, replication, account parameters, and advanced features (such as Iceberg, External Access Integration, and compute pools).
  • Implement data mesh boundaries: Build and support dbt Mesh patterns and domain boundaries across business functions (Finance, Marketing Ops, CPX, etc.).
  • Manage access & security models: Maintain RBAC permission models, service-user provisioning, solution-owner access patterns, and least-privilege enforcement in partnership with Okta and App Cafe.
  • Maintain core data stack integrations: Operate and optimize integration patterns for orchestration (Airflow), ingestion (Fivetran), operational tools (Workato, Salesforce), and ELT workflows within established guardrails.
  • Set and enforce operational standards: Drive best practices for naming conventions, schema/database layouts, environment promotion patterns, and code reviews across data teams.
  • Build AI-ready data infrastructure: Implement Snowflake data access patterns for LLM pipelines, semi-structured data consumption, context retrieval, and feature store integrations in partnership with AI/ML teams.
  • Operate MCP server infrastructure: Deploy and manage Model Context Protocol (MCP) servers that safely expose governed Snowflake data to AI agents and LLM applications.
  • Implement compliance & privacy controls: Partner with GRC and Security to execute FedRAMP boundary controls, field-level masking, data sanitization, and schema security reviews.
  • Optimize performance & cost efficiency: Drive cost visibility using query tags, warehouse sizing optimizations, and showback alignment with business departments.

Requirements

  • Technical Proficiency: Proven hands-on experience with SQL query tuning, Snowflake account administration/RBAC, and platform automation
  • 5+ years of relevant experience in data engineering or platform engineering, including 2+ years of hands-on experience managing or operating Snowflake platform infrastructure
  • Bachelor's degree in Computer Science, Engineering, Math, Statistics, Finance, or a related discipline, or equivalent practical experience
  • Technical Proficiency:
  • Proven hands-on experience with SQL query tuning, Snowflake account administration/RBAC, and platform automation
  • With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.

Nice to have

  • Up to 10% travel for team events and internal company meetings.
  • Snowflake & Data Mesh: Strong hands-on experience with dbt (Core or Cloud), dbt Mesh, and data mesh principles across enterprise domains
  • Security & Governance: Hands-on experience with Snowflake RBAC, row/column masking, secure views, data cataloging tools (Atlan), and compliance standards (FedRAMP, SOX, or equivalent).
  • AI / LLM Infrastructure: Familiarity or hands-on experience with Model Context Protocol (MCP), LLM data retrieval pipelines, vector/semantic search patterns, or Cortex
  • Automation & Cloud: Strong scripting skills in Python for platform automation
  • working knowledge of AWS data infrastructure (S3, IAM, Secrets Manager)
  • Ecosystem Tooling: Experience with Airflow, Fivetran, Workato, and enterprise BI tools (QuickSight, Sigma, Tableau, Omni)
  • Cost & Performance: Demonstrated experience analyzing query logs, tuning warehouse configurations, and optimizing cloud compute costs

Compensation

  • ✅ Salary range in the US: $111,000.00 - $178,000.00 ✅ A discretionary bonus typically paid annually

Benefits

  • ✅ Salary range in the US: $111,000.00 - $178,000.00 ✅ A discretionary bonus typically paid annually
  • Execute agent testing & evaluation: Maintain evaluation pipelines and test suites to validate agent accuracy, detect hallucination risks, and verify data domain coverage before production release.

Company info

  • Director of Enterprise Data Platform, as part of the Data & Analytics function (DnA) under the CIO.

Visa & Work Authorization

  • ability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic
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This listing is sourced directly from Workiva's careers page and normalized into a canonical job model.