Principal Data Engineer

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October 24

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insightsoftware

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Finance • SaaS • Enterprise

insightsoftware is a comprehensive provider of solutions tailored for finance, accounting, and operations. They empower business leaders by turning data into actionable insights, aiding in strategic decision-making across organizations. Their platform connects over 200 environments including major ERPs and data sources, offering AI-enabled integration and data management solutions specifically designed for the Office of the CFO. insightsoftware's offerings include financial reporting, operational reporting, data automation, and more, all aimed at streamlining financial processes and enhancing data visibility and reliability. With a focus on automating routine workflows, they enable businesses to save time, minimize errors, and focus on strategic analysis.

1001 - 5000 employees

💸 Finance

☁️ SaaS

🏢 Enterprise

💰 Private Equity Round on 2021-07

📋 Description

• Evaluate and lead efforts to normalize the database architecture and optimize data models for performance and scalability • Assess current database bottlenecks, long-running queries, and performance issues, designing and implementing optimization strategies • Design data architecture patterns to migrate business logic from Oracle stored procedures to proper application tiers in collaboration with application engineers • Develop database modernization roadmap for read-optimization and tighter integration with modern BI tools • Lead strategic decisions on database patterns, indexing strategies, partitioning, and data lifecycle management • Evaluate and replace our custom-built database deployment tool with enterprise-grade solutions • Design and implement robust database deployment pipelines across multiple environments • Architect database CI/CD processes that ensure reliability, repeatability, and auditability of schema changes • Lead database migration strategies from write-optimized to read-optimized architectures • Design and implement database observability, monitoring, and alerting solutions • Analyze and optimize long-running queries and database performance issues impacting customer experience • Design and implement database changes that support cloud-native application patterns • Collaborate with Solution Architect on data strategy and phased database modernization approaches • Work closely with Principal Application Engineers to ensure application and database architectures are optimally aligned • Mentor and teach engineering teams on database best practices, performance optimization, and modern data patterns • Drive adoption of database standards and hold teams accountable to data quality and performance requirements

🎯 Requirements

• Minimum 10+ years of hands-on database engineering and architecture experience, with at least 5 years focused on enterprise-scale database systems • 8+ years of deep Oracle database expertise including performance tuning, query optimization, and enterprise-scale deployments • Proven track record of modernizing legacy database architectures and migrating business logic from databases to application tiers • Strong experience with database deployment automation, CI/CD pipelines, and enterprise database tooling • Experience with database normalization, data modeling, and designing for both transactional and analytical workloads • Understanding of read-optimization patterns, indexing strategies, and integration with modern BI platforms • Bachelor's degree in Computer Science, Engineering, or equivalent work experience.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options