Platform Solutions & Operations Specialist

• Act as the primary technical liaison between Customer Success and Engineering teams to expedite resolution of complex data-related issues
• Execute the Trace protocol through detailed log-level investigations and data validation within Databricks
• Analyze and reconcile data discrepancies across media platforms, DSPs, and internal systems
• Validate client configurations, integrations, and platform setups
• Execute engineering-defined runbooks for data reprocessing, synchronization, and recovery
• Perform root cause analysis of data anomalies and provide actionable findings
• Monitor data flows, pipelines, and synchronization processes for accuracy and completeness
• Create contextualized defect packages with logs, analysis results, reproduction steps, and evidence
• Triage and classify technical issues and route them to appropriate engineering teams or technical pods
• Collaborate with Engineering, Product, and Customer Success to reduce Time-to-Resolution and improve customer experience
• Develop and enhance troubleshooting documentation, runbooks, and knowledge base articles
• Identify recurring data quality issues and recommend process improvements, automation, and preventive measures
• Support incident investigations and post-mortem activities with detailed data analysis and technical insights
• Serve as a technical subject matter expert in data reconciliation, system diagnostics, and operational troubleshooting

• Strong SQL skills, with the ability to query, analyze, validate, and reconcile complex datasets
• Hands-on experience with Databricks for data investigation, validation, and troubleshooting
• Understanding of data warehousing concepts, data flows, and ETL processes
• Ability to investigate data discrepancies, analyze logs, identify anomalies, and perform root cause analysis
• Experience with data validation, reconciliation, and troubleshooting across multiple systems or platforms
• Ability to analyze technical issues, document findings, and prepare clear, evidence-based defect reports for engineering teams
• Strong analytical and problem-solving skills, with attention to detail and a focus on data accuracy
• Effective communication and collaboration skills to work with cross-functional teams, including Engineering, Product, and Customer Success
• Ability to follow technical procedures and runbooks, manage escalations, and support incident investigations
• Good documentation skills, with the ability to develop 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
• Experience with data reprocessing, recovery procedures, or production incident troubleshooting
• Exposure to media platforms, demand-side platforms (DSPs), or integrations across multiple data systems

• Employees can work remotely