Note: The job is a remote job and is open to candidates in USA. TopDog Law is seeking a Senior DataOps Engineer to own the operations, security, reliability, and cost management of its data platform. The role focuses on running and improving Snowflake during a BigQuery migration, standardizing data operations across cloud and operational databases, and supporting teams with secure, observable, and cost-effective data practices.

Responsibilities

• Run the platform. Own administration and day-to-day operations of Snowflake, including environments, warehouses, performance, and the operational side of our migration from BigQuery
• Standardize data operations. Define consistent operating practices for data ingestion from S3 and vendor files, structured and semi-structured data, and ML and AI workloads, using infrastructure as code and CI/CD for data
• Extend platform practices to operational databases. Extend consistent operational practices to the Postgres and NoSQL databases used by application teams, including backups, performance, and access
• Secure the data. Apply least-privilege permissions, design appropriate data access roles, and integrate our data tools with SSO, with encryption and auditing for sensitive data
• Manage data vendors and tools. Manage the external vendors and tools used by our data team, covering access, SSO integration, configuration, and licensing
• Keep it observable and reliable. Build monitoring and observability across our data pipelines and platform, and define and run the incident management process, from response through root cause and follow-up
• Improve cost transparency. Track and attribute spend across Snowflake and data tooling, provide teams with clear cost visibility, and drive optimization
• Support multiple teams. Serve as the data operations point of contact for teams across business verticals, helping resolve operational challenges and establishing reusable practices and documentation

Skills

• 7+ years of professional experience in data platform engineering, DataOps, or DevOps, with a track record of operating production data platforms
• Deep Snowflake expertise, including administration, role-based access control, warehouse management, performance, and cost
• Strong security and access management skills, including least-privilege role design, SSO integration, encryption, and audit logging
• Experience with AWS data storage and access, including S3, IAM, and the networking that governs data access
• Experience building monitoring, observability, and incident management for data pipelines and platforms
• Experience with cloud data cost visibility and management, including reporting spend clearly to technical and non-technical teams
• Experience administering data vendor tools, such as ingestion, orchestration, BI, and data quality platforms
• Experience with infrastructure as code and CI/CD for data workloads (e.g., Terraform, dbt deployments)
• Working experience operating relational and NoSQL databases (e.g., Postgres)
• Broad understanding of the data ecosystem, including how platforms, tools, and processes integrate and where improvements are needed
• Strong communication skills and a track record of supporting multiple teams and helping teams adopt shared practices
• Experience migrating a data warehouse to Snowflake, or working knowledge of BigQuery
• Snowflake certifications
• Experience supporting data infrastructure for machine learning and AI workloads
• Experience with orchestration and transformation tools (e.g., Airflow, dbt)
• Experience with data governance, catalog, or compliance frameworks such as SOC 2, or in a regulated or document-heavy industry such as legal or financial services

Benefits

• Fully remote
• Medical, dental, and vision insurance
• 401(k) with company match
• HSA
• Life insurance
• Disability coverage
• Paid time off
• Parental leave

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