Senior Lead, Data Operations
Location
United States
Posted
32 days ago
Salary
$151K - $242K / year
Seniority
Senior
Job Description
Senior Lead, Data Operations
Workiva
• 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.
Job 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
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