Senior Databricks Architect — Remote Data Lakehouse Lead

Cognizant; Cheyenne (WY); On-site; USD 150,000 - 210,000; Full time

Job summary

Cognizant is seeking an experienced Databricks Architect to lead design and implementation of enterprise data modernization initiatives. This remote role requires deep expertise in Databricks Lakehouse, AWS cloud, large-scale data migration, and modern data engineering practices. Insurance domain experience is preferred.

The candidate will drive architecture decisions, establish best practices, and mentor data engineers to modernize legacy platforms into a scalable Databricks ecosystem.

Qualifications

• 12+ years of Data Engineering/Data Architecture experience.
• 5+ years of hands-on Databricks Architecture experience.
• Strong expertise in: Databricks Lakehouse, Spark/PySpark, Delta Lake, Unity Catalog, Databricks SQL, Python, SQL, AWS Cloud.

Responsibilities

• Design and implement enterprise-scale Databricks Lakehouse architecture.
• Lead data modernization and migration programs to Databricks.
• Architect scalable ELT/ETL pipelines using Databricks, Spark, Delta Lake, and Python.
• Define data governance, security, lineage, and metadata management with Unity Catalog.
• Design batch and real-time data processing solutions.
• Provide architecture guidance for cloud-native AWS solutions.
• Collaborate with business, analytics, and engineering teams on data strategies.
• Establish best practices for data quality, monitoring, performance tuning, and cost optimization.
• Create architecture standards, reference architectures, and technical documentation.
• Mentor data engineers and technical leads throughout the lifecycle.
• Evaluate emerging technologies and AI/ML capabilities within Databricks.

Skills

Data Engineering

Data Architecture

Databricks Lakehouse

Apache Spark/PySpark

Delta Lake

Databricks Workflows

Unity Catalog

Databricks SQL

Python

SQL

AWS Cloud

Cloud Migration

Stakeholder Management

AI/ML on Databricks

Tools

Terraform

Job description

Cognizant is seeking an experienced Databricks Architect to lead design and implementation of enterprise data modernization initiatives. This remote role requires deep expertise in Databricks Lakehouse, AWS cloud, large-scale data migration, and modern data engineering practices. Insurance domain experience is preferred.

The candidate will drive architecture decisions, establish best practices, and mentor data engineers to modernize legacy platforms into a scalable Databricks ecosystem.