Senior DataOps Engineer, Data Platform

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

📋 Description

• Take charge of the administration and daily operations of Snowflake, encompassing environments, warehouses, performance, and the operational aspects of transitioning from BigQuery.

• Establish standardized operating procedures for data ingestion from S3 and vendor files, covering structured and semi-structured data, as well as ML and AI workloads.

• Implement infrastructure as code and CI/CD practices for data management.

• Expand operational protocols to include Postgres and NoSQL databases, focusing on backups, performance, and access.

• Enforce least-privilege permissions while designing suitable data access roles.

• Integrate data tools with SSO, encryption, and auditing measures for sensitive data handling.

• Oversee external data vendors and tools, managing access, SSO integration, configuration, and licensing requirements.

• Develop monitoring and observability strategies across data pipelines and the overall platform.

• Define and execute the incident management process, from response to root cause analysis and subsequent follow-ups.

• Monitor and allocate spending across Snowflake and data tools, ensuring cost visibility and driving optimization efforts.

• Act as the data operations liaison for teams across various business segments.

• Address operational challenges while establishing reusable practices and comprehensive documentation.

⛳️ Requirements

• Over 7 years of professional experience in data platform engineering, DataOps, or DevOps, demonstrating a history of managing production data platforms.

• Extensive expertise in Snowflake, covering administration, role-based access control, warehouse management, performance optimization, and cost management.

• Proficient in security and access management, including the design of least-privilege roles, SSO integration, encryption, and audit logging.

• Experience with AWS data storage and access, specifically S3, IAM, and networking that regulates data accessibility.

• Proven experience in building monitoring, observability, and incident management frameworks for data pipelines and platforms.

• Familiarity with cloud data cost visibility and management, including clear reporting of expenses to both technical and non-technical teams.

• Experience in administering data vendor tools related to ingestion, orchestration, BI, and data quality platforms.

• Practical experience with infrastructure as code and CI/CD for data workloads, such as Terraform and dbt deployments.

• Hands-on experience with relational and NoSQL databases like Postgres.

• Comprehensive understanding of the data ecosystem, including integration of platforms, tools, and processes, as well as identifying areas for improvement.

• Strong communication abilities with a proven record of supporting multiple teams and facilitating the adoption of shared practices.

• Preferred: experience in migrating a data warehouse to Snowflake or familiarity with BigQuery.

• Preferred: possession of Snowflake certifications.

• Preferred: experience in supporting data infrastructure for machine learning and AI workloads.

• Preferred: knowledge of orchestration and transformation tools, such as Airflow and dbt.

• Preferred: experience with data governance, cataloging, or compliance frameworks like SOC 2, particularly in regulated or documentation-intensive sectors like legal or financial services.

• Open to feedback, adaptable to change, and proactive in asking “what’s next?”

• Demonstrated commitment, ownership, urgency, and a solutions-oriented approach.

• This position is a full-time employee role; it is not available for independent contractors or consulting arrangements.

🏝️ Benefits

• Medical, dental, and vision insurance.

• 401(k) with company matching.

• Health Savings Account (HSA).

• Life insurance coverage.

• Disability insurance.

• Paid time off.

• Parental leave.