Job Summary
This hybrid role is for a Senior Architect with deep hands-on expertise in Databricks SQL, Databricks Workflows, and PySpark. The candidate will drive end-to-end data platform and analytics solutions for a global organization, designing, optimizing, and governing scalable cloud-based data architectures that enable trusted insights, improve business decisions, and support responsible innovation.
Key Responsibilities
- Design and implement scalable cloud-based data architectures on Databricks to support complex analytical workloads and reliable data products.
- Develop robust data pipelines using Databricks Workflows and PySpark to ingest, transform, and curate large volumes of structured and unstructured data.
- Optimize Databricks SQL queries and data models for high-performance, low-latency analytics.
- Establish reusable frameworks and patterns for data ingestion, transformation, and orchestration to improve consistency and reduce time-to-market.
- Collaborate with product owners, data engineers, and analysts to translate business requirements into scalable technical solutions aligned with enterprise architecture standards.
- Define and enforce best practices for code quality, version control, testing, and deployment in Databricks environments.
- Implement monitoring, logging, and alerting mechanisms to enhance reliability and observability of workflows and jobs.
- Design secure data access models (RBAC, data masking, encryption) to ensure compliance with regulatory and security standards.
- Drive modernization by migrating legacy systems into Databricks-based platforms, simplifying architecture and reducing operational complexity.
- Conduct architecture and code reviews to ensure performance, scalability, and maintainability.
- Partner with cloud and infrastructure teams to optimize compute, storage, and networking for cost efficiency and performance.
- Document architecture decisions, data flows, and standards for long-term maintainability.
- Mentor and guide teams on Databricks and PySpark implementation best practices.
Required Qualifications
- Extensive experience in designing and implementing enterprise-scale data platforms using Databricks, Databricks SQL, Databricks Workflows, and PySpark.
- Strong proficiency in SQL, data modeling, and query optimization for analytical workloads.
- Hands-on experience in building and orchestrating complex data pipelines within Databricks (scheduling, dependency management, recovery strategies).
- Solid understanding of distributed computing concepts (cluster configuration, parallel processing, resource tuning).
- Experience with data governance, data quality, and metadata management frameworks.
- Hands-on expertise with CI/CD practices for Databricks deployments, including automated testing and release pipelines.
- Strong communication and collaboration skills to work effectively with cross-functional stakeholders.
- Proven experience in large-scale cloud-based data ecosystems and modern data platform
Preferred Certifications
- Databricks Certified Data Engineer Professional
- Databricks Certified Data Engineer Associate
- Equivalent cloud data certification (Azure, AWS, or GCP)
*Please note this role is not able to offer visa transfer or sponsorship now or in the future*
We're excited to meet people who share our mission and who can make an impact in a variety of ways. Don't hesitate to apply—even if you only meet the minimum requirements. Think about your transferable experiences and unique skills that make you stand out.
Salary and Other Compensation:
Applications will be accepted until Aug 06, 2026,
The annual salary for this position is between $ 90,000 - $ 150,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
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。
