Remote Databricks Architect: Lakehouse Modernization

Cognizant; Lansing (MI); Remote; USD 150,000 - 210,000; Full time

Job summary

Cognizant is seeking an experienced Databricks Architect to lead the design and implementation of enterprise data modernization initiatives. The role demands deep expertise in Databricks Lakehouse architecture, AWS cloud technologies, large-scale data migration, and modern data engineering practices.

The candidate should have 12+ years in data engineering/architecture, 5+ years hands-on Databricks experience, and a proven ability to establish best practices, data governance, and collaboration

Qualifications

• 12+ years in Data Engineering/Data Architecture.
• 5+ years hands-on Databricks Architecture experience.
• Strong expertise in Databricks Lakehouse, Apache Spark/PySpark, Delta Lake, Unity Catalog, Databricks SQL, Python, SQL.
• Experience with AWS cloud (S3, IAM) and data governance, security, compliance.

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

Data governance & security

Tools

AWS (S3, IAM)

Terraform

Snowflake

Job description

Cognizant is seeking an experienced Databricks Architect to lead the design and implementation of enterprise data modernization initiatives. The role demands deep expertise in Databricks Lakehouse architecture, AWS cloud technologies, large-scale data migration, and modern data engineering practices.

The candidate should have 12+ years in data engineering/architecture, 5+ years hands-on Databricks experience, and a proven ability to establish best practices, data governance, and collaboration