Remote Databricks Architect - Enterprise Lakehouse Lead

Cognizant; Lincoln (NE); Remote; USD 120,000 - 170,000; Full time

Job summary

Cognizant seeks an experienced Databricks Architect to lead the design and implementation of enterprise data modernization initiatives. The ideal candidate will have deep expertise in Databricks Lakehouse architecture, AWS cloud technologies, large-scale data migration, and modern data engineering practices.

Insurance/P&C domain experience is highly preferred. This role drives architecture decisions and supports modernization of legacy data platforms into a scalable Databricks ecosystem.

Qualifications

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

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

Data Engineering

Data Architecture

Databricks Architecture

Apache Spark

Delta Lake

Unity Catalog

Databricks SQL

Python

SQL

AWS Cloud

Data Governance

Cloud Migration

Tools

Terraform

Snowflake

Job description

Cognizant seeks an experienced Databricks Architect to lead the design and implementation of enterprise data modernization initiatives. The ideal candidate will have deep expertise in Databricks Lakehouse architecture, AWS cloud technologies, large-scale data migration, and modern data engineering practices.

Insurance/P&C domain experience is highly preferred. This role drives architecture decisions and supports modernization of legacy data platforms into a scalable Databricks ecosystem.