Senior Data Operations Analyst

Role Title: Senior Data Operations Analyst Employment Type: Contract-to-Hire Duration: 3 month contract to hire Preferred Location: Remote in Mexico Role Overview We are seeking a proactive DataOps Engineer to ensure the stability, quality, and timeliness of our data. In this role, you will own the monitoring, incident response (break/fix), and support for our Snowflake data platform. You will manage the daily health of data ingestion pipelines, handle user tickets, and work to automate manual operational tasks. This is a great role for someone who loves troubleshooting, thrives on solving immediate problems, and is willing to learn new technologies to improve system reliability. Key Responsibilities Monitor daily data pipelines (ELT/ETL) and dbt jobs to ensure successful completion. Proactively identify delays or failures before they impact stakeholders. Serve as the first line of defense for pipeline failures. Troubleshoot errors in SQL, Python, or ingestion tools, and implement fixes to restore service. Oversee the routine ingestion of data from various sources. Verify data arrival and validate row counts/quality metrics. Manage the data support queue (e.g., Jira, ServiceNow). Assist users with access requests, query issues, and data discrepancies. Write scripts (using Python ) to automate repetitive maintenance tasks, alerting, and data validation checks. Assist in the deployment of code changes (SQL/dbt models) to production, ensuring smooth releases and quick rollbacks if necessary. Document incidents and perform root cause analysis to prevent recurring issues. Required Qualifications Experience in a DataOps, Site Reliability Engineering (SRE), or Production Support role. Ability to write and debug SQL queries to diagnose data issues and verify fixes. Proficiency in Python for automation and scripting. (Experience with Python 3.10 or 3.11 is preferred). Excellent analytical skills to trace errors through logs, code, and data lineage. Understanding of Snowflake virtual warehouses, history tables, and query profiles. Ability to communicate clearly with technical teams and business users regarding ticket status and outages. Comfortable working on a lean team where priorities can shift, and willingness to learn new observability tools. Preferred Qualifications SnowPro Core Certification. Experience with dbt (specifically running and debugging models). Familiarity with data observability tools (e.g., Monte Carlo, Datadog, or custom alerting). Experience with version control (Git) and CI/CD pipelines.