Oracle Database Engineering Lead
About the role
As an Oracle Database Engineering Lead, you will make an impact by leading the architecture, engineering, performance, security, and reliability of Oracle database platforms that support critical pharmaceutical research and scientific applications. You will be a valued member of the technology and research enablement team and work collaboratively with application architects, product owners, scientists, data engineers, cybersecurity teams, infrastructure teams, and delivery stakeholders to ensure data platforms are scalable, secure, and highly available.
In this role, you will:
- Lead Oracle database architecture, engineering, modernization, upgrades, migrations, and operational excellence initiatives across business-critical research platforms.
- Design and optimize logical and physical data models, database schemas, indexing strategies, partitioning approaches, and performance standards.
- Drive database performance, availability, resiliency, backup, recovery, and disaster recovery capabilities to support scientific and operational workloads.
- Establish database security, governance, and compliance controls, including access management, encryption, auditing, and data protection standards.
- Partner with technical and business stakeholders to deliver scalable data solutions, mentor engineering teams, and promote database engineering best practices.
Work model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring presence in a client or Cognizant office based on project needs. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
- 15+ years of experience in database engineering, including significant expertise in Oracle database architecture, administration, development, and production support.
- Strong hands-on experience with SQL and PL/SQL development, performance tuning, query optimization, database design, and troubleshooting.
- Experience implementing high-availability, backup, recovery, disaster recovery, and database resilience strategies in enterprise environments.
- Expertise with Oracle technologies such as RAC, ASM, Data Guard, RMAN, Enterprise Manager, and related database management tools.
- Experience working in Linux/Unix environments, scripting, source control platforms, and automated database deployment processes.
- Proven ability to lead database modernization, migration, upgrade, and performance improvement initiatives.
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related discipline.
These will help you stand out
- Experience supporting pharmaceutical, biotechnology, life sciences, laboratory informatics, or scientific research environments.
- Knowledge of research platforms such as ELN, LIMS, SDMS, bioinformatics systems, scientific analytics, or laboratory data management solutions.
- Experience with Oracle Cloud Infrastructure (OCI) or other cloud-based database platforms.
- Familiarity with FAIR data principles, data lineage, metadata management, and scientific data governance practices.
- Oracle, cloud, architecture, or ITIL certifications.
- Experience leading global teams and influencing architecture, engineering, and operational strategy initiatives.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role
关于高知特 (Cognizant)
高知特(Cognizant)(纳斯达克代码:CTSH)作为一家AI Builder和相关技术服务提供商,致力于通过打造全栈AI解决方案,帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长,将企业独特的业务场景融入科技系统,赋能组织释放人才潜能,推动切实成果,并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情,敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外,候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中,您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。







