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.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation 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.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
