Data Platform Engineer

About the Role

The Senior Data Platform Engineer partners closely with the Data Platform Operations Manager to ensure platform standards, operational best practices, security requirements, governance controls, automation practices, and support processes are consistently implemented across the data platform ecosystem. The role provides senior technical leadership for complex initiatives, platform modernization efforts, cloud adoption programs, performance optimization activities, operational engineering, 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.

Requirements

• 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

Duration: 1 year