[Remote] Data Platform Engineer
Note: The job is a remote job and is open to candidates in USA. Confidential is seeking a Senior Data Platform Engineer to partner with Data Platform Operations and provide technical leadership across enterprise database and cloud data platforms. The role focuses on platform engineering, modernization, security, governance, automation, performance optimization, and Level 3 production support.
Responsibilities
- Design, engineer, implement, configure, and support enterprise database and cloud data platform solutions supporting operational, analytical, reporting, and data integration workloads
- Partner with Data Architects to translate target-state architectures, technology roadmaps, modernization initiatives, and business requirements into implementable engineering designs and operationally sustainable solutions
- Lead hands-on implementation and support activities across Microsoft SQL Server, Azure SQL, PostgreSQL, Oracle, Snowflake, Azure Data Lake, Azure Synapse, Microsoft Fabric, and related enterprise data platforms
- Serve as a senior technical contributor supporting both project delivery and ongoing operational platform needs
- Develop and maintain infrastructure, platform configurations, deployment standards, automation routines, and operational processes that improve platform reliability, scalability, security, performance, and supportability
- Engineer database platform solutions that align with enterprise security, data governance, compliance, disaster recovery, business continuity, and operational standards
- Implement and maintain database security controls, authentication methods, RBAC models, service account governance, encryption capabilities, access controls, and audit requirements
- Design and support highly available and resilient platform architectures including backup, recovery, replication, failover, disaster recovery, and business continuity capabilities
- Provide senior-level troubleshooting and Level 3 support for complex platform incidents, performance issues, integration failures, data integrity concerns, security events, and critical production outages
- Conduct root cause analysis for recurring operational issues and implement permanent corrective actions to improve long-term platform stability
- Partner with the Data Platform Operations team to establish operational runbooks, monitoring standards, support procedures, escalation models, and automation opportunities
- Monitor and optimize database performance, query execution, storage utilization, warehouse consumption, platform scaling, indexing strategies, and workload management
- Support analytical platform workloads, reporting environments, Power BI integrations, ETL/ELT pipelines, data engineering solutions, and enterprise data consumption patterns
- Design and implement automated provisioning, environment refreshes, cloning processes, administrative workflows, monitoring integrations, and recurring operational activities
- Support database deployment pipelines, CI/CD processes, release activities, change management reviews, and production readiness assessments
- Review solution designs, data models, engineering approaches, and platform usage patterns to ensure alignment with enterprise architecture standards and best practices
Skills
- Microsoft SQL Server, SQL Server on Azure VM, Azure SQL Database, Azure SQL Managed Instance, PostgreSQL, EDB Postgres, Oracle databases and Oracle-based data platforms, IBM Netezza, Snowflake, Azure Data Lake, Azure Synapse
Company Overview
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