Databricks Lakehouse Architect — Enterprise Data Platform Lead

Cognizant; Houston (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Cognizant in Houston, TX is seeking a Databricks Architect to lead design and implementation of enterprise-scale data platforms, enabling business users with scalable reporting and insights via Power BI, Tableau, or Microsoft Fabric.

You will drive architectures using Databricks, Delta Lake, and Medallion data models while collaborating with data engineers, BI developers, analysts, and stakeholders to deliver analytics-ready data at scale.

Qualifications

• 10+ years in Data & Analytics solutions, with 5+ years architecture in cloud data platforms.
• Strong hands-on with Azure Databricks, Apache Spark, PySpark, Spark SQL, and Delta Lake.
• Experience in data warehousing, data modeling, and ETL/ELT design.
• Proven experience architecting enterprise reporting in Tableau and Power BI.
• Strong stakeholder management and solution-architecture experience.

Responsibilities

• Design enterprise-scale Lakehouse architectures using Databricks and Delta Lake.
• Lead migration from traditional warehouses to cloud-native platforms with batch, streaming, and real-time processing.
• Design scalable ETL/ELT frameworks using Databricks, PySpark, and Spark SQL.
• Architect enterprise BI solutions using Power BI and Tableau with semantic models and data marts.
• Serve as trusted advisor, leading technical teams and governance sessions.

Skills

Azure Databricks

Apache Spark

PySpark

Spark SQL

Delta Lake

Data Lakehouse

Power BI

Tableau

Data Modeling

Stakeholder mgmt

Tools

Microsoft Fabric

Job description

Cognizant in Houston, TX is seeking a Databricks Architect to lead design and implementation of enterprise-scale data platforms, enabling business users with scalable reporting and insights via Power BI, Tableau, or Microsoft Fabric.

You will drive architectures using Databricks, Delta Lake, and Medallion data models while collaborating with data engineers, BI developers, analysts, and stakeholders to deliver analytics-ready data at scale.