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
Company Overview