
Platform Solutions & Operations Specialist
Posted Oct 22

Posted Oct 22
This is a fully remote position, open to applicants in Philippines.
• Serve as the key technical liaison between the Customer Success and Engineering teams to facilitate the swift resolution of intricate data-related challenges.
• Implement the Trace protocol through thorough log-level investigations and data validation within Databricks.
• Investigate and reconcile data inconsistencies across media platforms, DSPs, and internal systems.
• Verify client configurations, integrations, and platform setups.
• Execute runbooks defined by engineering for data reprocessing, synchronization, and recovery.
• Conduct root cause analysis of data anomalies and deliver actionable insights.
• Oversee data flows, pipelines, and synchronization processes to ensure accuracy and completeness.
• Develop contextualized defect packages that include logs, analysis results, reproduction steps, and supporting evidence.
• Classify and triage technical issues, directing them to the appropriate engineering teams or technical pods.
• Collaborate with Engineering, Product, and Customer Success to minimize Time-to-Resolution and enhance customer experience.
• Create and refine troubleshooting documentation, runbooks, and knowledge base articles.
• Identify recurring data quality challenges and propose process enhancements, automation, and preventive measures.
• Assist in incident investigations and post-mortem activities through detailed data analysis and technical insights.
• Act as a technical subject matter expert in data reconciliation, system diagnostics, and operational troubleshooting.
• Proficient in SQL, with the capability to query, analyze, validate, and reconcile complex datasets.
• Practical experience with Databricks for data investigation, validation, and troubleshooting.
• Knowledge of data warehousing concepts, data flows, and ETL processes.
• Skilled in investigating data discrepancies, analyzing logs, identifying anomalies, and conducting root cause analysis.
• Experience in data validation, reconciliation, and troubleshooting across diverse systems or platforms.
• Ability to analyze technical issues, document findings, and create clear, evidence-based defect reports for engineering teams.
• Strong analytical and problem-solving capabilities, with meticulous attention to detail and a commitment to data accuracy.
• Excellent communication and collaboration skills for effective interaction with cross-functional teams, including Engineering, Product, and Customer Success.
• Capable of adhering to technical procedures and runbooks, managing escalations, and supporting incident investigations.
• Competent documentation skills, with the ability to create and maintain troubleshooting guides, runbooks, and knowledge base articles.
• Experience with data warehouse design and architecture.
• Familiarity with ETL processes, data pipeline monitoring, and data synchronization.
• Background in data reprocessing, recovery procedures, or production incident troubleshooting.
• Exposure to media platforms, demand-side platforms (DSPs), or integrations across multiple data systems.
• Employees have the option to work remotely.
Mecka
Marble Health
Linda Werner & Associates, Inc
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