Remote Databricks Architect: Lakehouse Modernization Lead

Cognizant; Hartford (CT); Remote; USD 140,000 - 190,000; Full time

Job summary

Cognizant is seeking an experienced Databricks Architect to lead design and implementation of enterprise data modernization initiatives. Expertise in Databricks Lakehouse, Spark, Delta Lake, Unity Catalog, and AWS is required. Insurance domain experience is a plus.

You will mentor engineers and drive best practices across data governance, security, and architecture. The role requires 12+ years in data engineering/architecture and 5+ years in Databricks architecture, with strong collaboration

Qualifications

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

Tools

Terraform

Job description

Cognizant is seeking an experienced Databricks Architect to lead design and implementation of enterprise data modernization initiatives. Expertise in Databricks Lakehouse, Spark, Delta Lake, Unity Catalog, and AWS is required. Insurance domain experience is a plus.

You will mentor engineers and drive best practices across data governance, security, and architecture. The role requires 12+ years in data engineering/architecture and 5+ years in Databricks architecture, with strong collaboration