Lead the design, development, and implementation of enterprise Oracle SQL and PL/SQL database solutions. Perform data modeling, analysis, API development, performance tuning, and ETL batch-job maintenance using Informatica and AutoSys. Provide technical leadership through architecture and code reviews, mentorship, Agile engineering practices, automated testing, CI/CD, troubleshooting, and collaboration with global teams while remaining hands-on with development.
Lead Oracle PL/SQL Database Developer
Location: Westlake, TX
Role: Lead Software Engineer – Oracle SQL/PLSQL Developer
Employment Type: W2
Job SummaryWe are seeking a Lead Oracle PL/SQL Database Developer with strong hands-on expertise in Oracle SQL, PL/SQL, data modeling, data analysis, data APIs, and database performance tuning.
The ideal candidate will provide technical leadership while remaining actively involved in development. This role requires someone who can lead the design and implementation of enterprise-scale, cloud-enabled solutions while mentoring developers and collaborating with global teams.
- Lead the design, development, and implementation of Oracle SQL and PL/SQL solutions.
- Develop complex database solutions while remaining hands-on with the codebase.
- Perform data analysis, data modeling, and database performance tuning.
- Design and implement data APIs.
- Lead the development and maintenance of batch jobs using ETL/Informatica and Autosys.
- Lead application design efforts and ensure solutions meet functional and non-functional requirements.
- Participate in architecture discussions, design reviews, and code reviews.
- Translate business requirements, storyboards, and use cases into scalable technical solutions.
- Develop and promote clean, testable, readable, maintainable, and performant code.
- Contribute to CI/CD, ATDD, automated testing, and Agile engineering practices.
- Troubleshoot technical issues and provide effective solutions.
- Provide technical guidance, mentorship, and leadership to development team members.
- Collaborate with cross-functional and global development teams.
- Drive engineering excellence, software quality, and continuous improvement.
- Lead technical design and implementation of software solutions.
- Guide developers on engineering standards and best practices.
- Conduct and participate in design and code reviews.
- Mentor team members and support their technical growth.
- Promote high-quality, scalable, maintainable, and secure solutions.
- Remain hands-on with Oracle SQL/PLSQL development while providing technical leadership.
Similar Jobs
Fintech • Software
Leads reporting and analytics initiatives, develops Power BI dashboards and KPI frameworks, performs trend and root-cause analysis, supports forecasting, and delivers actionable insights to business leaders. Partners cross-functionally to define requirements, improve data governance, validate reporting, and establish scalable standards. Mentors analysts and guides complex analytics workstreams while remaining hands-on with report development, SQL data extraction, documentation, and performance measurement.
Top Skills:
ExcelPower BISQL
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Build and lead production tools for the autonomous-vehicle data lifecycle, including data cataloging, SQL and vector search, natural-language retrieval, synchronized sensor replay, and 3D/map analysis. Identify high-impact user problems, design and ship solutions, optimize web performance, and connect data workflows. Lead multi-project initiatives, mentor engineers, improve testing and observability, and support reliable production operations.
Top Skills:
Apache ArrowBigQueryDeck.GlGCPH.264JavaScriptKubernetesLlmsMapbox GlMcapMilvusNode.jsOffscreencanvasOpensearchParquetPgvectorPostgresProtobufPythonReactReglRosRos 2RosbagSQLSql DatabasesTemporalThree.JsTypescriptVector DatabasesVespaVlmsWeb WorkersWebassemblyWebcodecsWebgl
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Supports business-critical applications through monitoring, incident triage, data validation, release verification, reporting, and operational health assessment. Uses SQL, scripting, statistical methods, dashboards, and generative or Agentic AI to identify trends, automate repetitive processes, improve reliability, and reduce manual effort. Collaborates with engineering, infrastructure, database, business, and application teams while maintaining documentation, runbooks, and operational metrics. The role accepts academic, project, internship, certification, or practical experience in lieu of prior professional IT Operations experience.
Top Skills:
Agentic AiAPIsApplication MonitoringCloud TechnologiesDatabasesExcelGenerative AiLinuxMachine LearningObservabilityPower BIPower QueryPowershellPythonRShell/BashSQLTableauWindows
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
