Senior Data & AI Platform Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $111k - $178k / year

⏰ Full Time

🟠 Senior

🏗️ 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

• 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.) • Maintain RBAC permission models, service-user provisioning, solution-owner access patterns, and least-privilege enforcement in partnership with Okta and App Cafe • Operate and optimize integration patterns for orchestration (Airflow), ingestion (Fivetran), operational tools (Workato, Salesforce), and ELT workflows within established guardrails • Drive best practices for naming conventions, schema/database layouts, environment promotion patterns, and code reviews across data teams • Implement Snowflake data access patterns for LLM pipelines, semi-structured data consumption, context retrieval, and feature store integrations in partnership with AI/ML teams • Deploy and manage Model Context Protocol (MCP) servers that safely expose governed Snowflake data to AI agents and LLM applications • Maintain evaluation pipelines and test suites to validate agent accuracy, detect hallucination risks, and verify data domain coverage before production release • Partner with GRC and Security to execute FedRAMP boundary controls, field-level masking, data sanitization, and schema security reviews • Operate and integrate Atlan for enterprise data cataloging, column-level lineage, and lakehouse metadata governance • Drive cost visibility using query tags, warehouse sizing optimizations, and showback alignment with business departments • Enable BI tools (QuickSight, Sigma, Tableau, etc.), analyst personas, and developer workflows through performance tuning and access guidance • Participate in design reviews, conduct pull request reviews, and mentor mid-level/junior engineers on data platform standards and dbt patterns

🎯 Requirements

• 5+ years of relevant experience in data engineering or platform engineering • 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 • Proven hands-on experience with SQL query tuning, Snowflake account administration/RBAC, and platform automation • Strong hands-on experience with dbt (Core or Cloud), dbt Mesh, and data mesh principles across enterprise domains • Hands-on experience with Snowflake RBAC, row/column masking, secure views, data cataloging tools (Atlan), and compliance standards (FedRAMP, SOX, or equivalent) • Familiarity or hands-on experience with Model Context Protocol (MCP), LLM data retrieval pipelines, vector/semantic search patterns, or Cortex automation • Strong scripting skills in Python for platform automation; working knowledge of AWS data infrastructure (S3, IAM, Secrets Manager) • Experience with Airflow, Fivetran, Workato, and enterprise BI tools (QuickSight, Sigma, Tableau, Omni) • Demonstrated experience analyzing query logs, tuning warehouse configurations, and optimizing cloud compute costs • SnowPro Core or Advanced certification • Strong written and verbal communication skills to partner effectively across engineering, security, and business analyst teams • Ability to work effectively in an Agile/Sprint environment, translating technical tasks into clean, well-documented deliverables • Collaboration: Track record of working cross-functionally and helping elevate team-wide engineering practices through peer mentoring and code reviews

🏖️ Benefits

• A discretionary bonus typically paid annually • Restricted Stock Units granted at time of hire • 401(k) match and comprehensive employee benefits package