Senior Lead, Data Operations

🕒 Abril 30

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $151.000 - $242.000 / ano

⏰ Tempo Integral

🟠 Sênior

⚙️ Operações

🦅 Patrocina Visto H1B

info

🗣️🇺🇸🇬🇧 Inglês obrigatório

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Workiva

1001 - 5000 funcionários

Fundada em 2008

☁️ SaaS

💸 Finanças

📋 Conformidade

SaaS • Finance • Compliance

A Workiva é uma plataforma na nuvem, impulsionada por inteligência artificial, que unifica relatórios financeiros, gestão de riscos e conformidade, e relatórios de sustentabilidade. Ela permite que as equipes conectem dados entre sistemas, colaborem em tempo real, automatizem relatórios (incluindo marcação XBRL) e mantenham auditabilidade e rastreabilidade para divulgações reguladas e processos de garantia. A Workiva atende grandes empresas e equipes de finanças, jurídico, auditoria e sustentabilidade para acelerar relatórios, melhorar a precisão e reduzir riscos.

Descrição

• 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.

🎯 Requisitos

• 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

🏖️ Benefícios

• 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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