Please note, this role is not able to offer visa transfer or sponsorship now or in the future.
About the role
As a Databricks Architect, you will make an impact by leading the design and implementation of enterprise-scale data platforms, architecting modern Lakehouse solutions using Databricks while enabling business users with scalable reporting, self-service analytics, and actionable insights through BI platforms such as Power BI, Tableau, or Microsoft Fabric. You will be a valued member of the Data & Analytics team and work collaboratively with data engineers, BI developers, analysts, and business stakeholders.
In this role, you will:
• Design enterprise-scale Lakehouse architectures using Databricks and Delta Lake, and define data platform strategies that align with business and analytics objectives.
• Lead migration initiatives from traditional data warehouses to modern cloud-native platforms, architecting batch, streaming, and real-time data processing solutions.
• Design scalable ETL/ELT frameworks using Databricks, PySpark, and Spark SQL, implementing Medallion architecture (Bronze, Silver, Gold) for data processing.
• Architect enterprise BI solutions using Power BI and Tableau, designing semantic models, data marts, and analytical datasets to enable self-service analytics.
• Serve as a trusted advisor to business and technology stakeholders, leading technical teams and conducting architecture reviews and technical governance sessions.
Work model
At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance though our various wellbeing programs. Based on this role's business requirements, this is an onsite position requiring 5 days a week in a client or Cognizant office in Houston, Texas.
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
• 10+ years of experience in Data & Analytics solutions, including 5+ years of architecture experience in cloud-based data platforms.
• Strong hands-on expertise with Azure Databricks, Apache Spark, PySpark, Spark SQL, Delta Lake, and Data Lakehouse architecture.
• Extensive experience in data warehousing, data modeling, and ETL/ELT design.
• Proven experience architecting enterprise reporting solutions in Tableau and Power BI.
• Strong stakeholder management and solution architecture experience.
These will help you stand out
• Experience with Microsoft Fabric.
• Experience with data governance frameworks, metadata management, and data lineage.
• Experience mentoring technical teams and participating in pre-sales, solutioning, and estimation activities.
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。
