Senior Lead, Data Operations

🕒 April 30

🇺🇸 United States – Remote

💵 $151k - $242k / year

⏰ Full Time

🟠 Senior

⚙️ Operations

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Workiva

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2008

☁️ SaaS

💸 Finance

📋 Compliance

SaaS • Finance • Compliance

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

• Provide expert technical guidance and direction to an offshore contract team to ensure high-quality execution of platform operations, automation, and reliability projects. • Own the operational health and performance of the data platform. • Lead and drive incident response and management for platform-related production issues. • Design and implement monitoring frameworks to govern service-oriented architecture (SOA) efficiently and intelligently. • Reduce operational toil by building self-service workflows, "guardrails," and infrastructure-as-code (IaC) solutions. • Managing the "traffic control" of data tasks (using tools like Airflow, Dagster, or Prefect) to ensure complex dependencies are handled efficiently. • Ensuring the right people have access to the right data (RBAC - Role-Based Access Control) without slowing down the business. • Building automated "circuit breakers" that stop data from reaching the warehouse if it doesn't meet quality standards. • Partnering with Legal/Security teams to ensure data handling meets GDPR, CCPA, or industry-specific regulations (HIPAA, SOX). • Managing the cloud budget (Snowflake/BigQuery/Databricks costs) and predicting how much compute power the company will need as data volume grows. • Translating technical constraints into business impact.

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience • 6+ years of experience in SRE, DevOps, or Systems Engineering roles, with a deep focus on data infrastructure, including experience leading technical projects or teams • Proven ability to provide clear technical leadership, direction, and oversight to cross-functional or geographically distributed engineering teams (e.g., contract or offshore teams) • Deep understanding of data modeling, warehousing, and building scalable ETL/ELT pipelines • Hands-on experience with Snowflake and DBT a must. Expert in Snowflake SQL. • Expert-level hands-on experience with Terraform, Splunk, and Airflow or similar technologies required • High proficiency in Python and programming languages such as Java, Go, or Scala • Management of ingestion frameworks like Fivetran, CData, Census and Openflow • Experience with S3, Athena and Iceberg required

🏖️ Benefits

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