Senior Databricks Architect - Remote Lakehouse & AWS

Cognizant; Columbia (SC); Remote; USD 120,000 - 190,000; Full time

Job summary

Cognizant is seeking an experienced Databricks Architect to lead enterprise data modernization efforts in a remote US-based role. The candidate will design Databricks Lakehouse architectures, drive migration from legacy systems to the Databricks platform, and shape governance, security, and metadata strategies.

Required: 12+ years in data engineering/architecture and 5+ years with Databricks, Spark, Delta Lake, Unity Catalog, and AWS. Insurance/P&C domain experience is highly preferred.

Qualifications

• 12+ years of Data Engineering/Data Architecture experience.
• 5+ years of hands-on Databricks Architecture experience.

Responsibilities

• Design and implement enterprise-scale Databricks Lakehouse architecture.
• Lead data modernization and migration programs from legacy platforms to Databricks.
• Architect scalable ELT/ETL pipelines using Databricks, Spark, Delta Lake, and Python.
• Define data governance, security, lineage, and metadata management strategies using Unity Catalog.
• Design batch and real-time data processing solutions.
• Provide architecture guidance for cloud-native solutions on AWS.
• Collaborate with business, analytics, and engineering teams to define 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 development lifecycle.
• Evaluate and recommend emerging technologies and AI/ML capabilities within the Databricks ecosystem.

Skills

Databricks Lakehouse

Apache Spark/PySpark

Delta Lake

Databricks Workflows

Unity Catalog

Databricks SQL

Python

SQL

AWS Cloud (S3, IAM)

Data Modeling

Data Governance

Data Migration

Job description

Cognizant is seeking an experienced Databricks Architect to lead enterprise data modernization efforts in a remote US-based role. The candidate will design Databricks Lakehouse architectures, drive migration from legacy systems to the Databricks platform, and shape governance, security, and metadata strategies.

Required: 12+ years in data engineering/architecture and 5+ years with Databricks, Spark, Delta Lake, Unity Catalog, and AWS. Insurance/P&C domain experience is highly preferred.