Senior Lead, Data Operations

This is a fully remote position, open to applicants in United States.

📋 Description

• Deliver specialized technical support and direction to an offshore contract team to guarantee exceptional execution of platform operations, automation, and reliability initiatives.

• Take ownership of the operational health and performance of the data platform.

• Lead and manage incident response for platform-related production issues.

• Design and implement monitoring frameworks to effectively govern service-oriented architecture (SOA).

• Minimize operational toil by developing self-service workflows, "guardrails," and infrastructure-as-code (IaC) solutions.

• Oversee the "traffic control" of data tasks (utilizing tools such as Airflow, Dagster, or Prefect) to ensure efficient handling of complex dependencies.

• Ensure proper access to data for the right individuals (RBAC - Role-Based Access Control) while maintaining business efficiency.

• Develop automated "circuit breakers" that prevent substandard data from entering the warehouse.

• Collaborate with Legal/Security teams to ensure data management complies with GDPR, CCPA, or relevant industry regulations (HIPAA, SOX).

• Manage the cloud budget (Snowflake/BigQuery/Databricks expenses) and forecast the required computing power as data volumes increase.

• Interpret technical limitations in terms of business impact.

⛳️ Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience.

• Over 6 years of experience in SRE, DevOps, or Systems Engineering roles, with a strong emphasis on data infrastructure, including experience in leading technical projects or teams.

• Proven capability to offer clear technical leadership, direction, and oversight to cross-functional or geographically distributed engineering teams (e.g., contract or offshore teams).

• Profound understanding of data modeling, warehousing, and the construction of scalable ETL/ELT pipelines.

• Hands-on experience with Snowflake and DBT is essential. Expertise in Snowflake SQL is required.

• Expert-level practical experience with Terraform, Splunk, and Airflow or similar technologies is mandatory.

• High proficiency in Python and programming languages such as Java, Go, or Scala.

• Experience managing ingestion frameworks like Fivetran, CData, Census, and Openflow.

• Required experience with S3, Athena, and Iceberg.

🏝️ Benefits

• A discretionary bonus typically awarded on an annual basis.

• Restricted Stock Units granted at the time of hire.

• 401(k) matching and a comprehensive employee benefits package.