Databricks Lakehouse Architect - Remote Data Modernization Lead

Cognizant; Springfield (IL); Remote; USD 150,000 - 190,000; Full time

Job summary

Cognizant is seeking an experienced Databricks Architect to lead enterprise data modernization efforts. You will design Databricks Lakehouse architectures, drive data migration from legacy platforms, and mentor teams across data engineering and analytics.

The role emphasizes strong governance, security, and metadata management, with collaboration across business, analytics, and engineering functions. Remote opportunities may be available.

Qualifications

• Databricks Lakehouse and Spark expertise required.
• Experience in designing enterprise-scale data platforms.
• Strong knowledge of data governance, security, and lineage.
• Experience with AWS cloud services and large data migrations.
• Presents architecture solutions and drives modernization initiatives.

Responsibilities

• Design and implement enterprise-scale Databricks Lakehouse architecture.
• Lead data modernization and migration programs to Databricks.
• Architect ELT/ETL pipelines using Databricks, Spark, Delta Lake, Python.
• Define governance, security, and metadata strategies with Unity Catalog.
• Design batch and real-time data processing solutions.
• Provide guidance for cloud-native solutions on AWS.
• Collaborate with stakeholders to define data strategies and standards.
• Mentor engineers and document architecture patterns.
• Evaluate emerging technologies and AI/ML within Databricks ecosystem.

Skills

Databricks Lakehouse

Apache Spark

Delta Lake

Python

SQL

AWS Cloud

Unity Catalog

Databricks SQL

Data Architecture

ELT/ETL

Tools

Terraform

Snowflake

Job description

Cognizant is seeking an experienced Databricks Architect to lead enterprise data modernization efforts. You will design Databricks Lakehouse architectures, drive data migration from legacy platforms, and mentor teams across data engineering and analytics.

The role emphasizes strong governance, security, and metadata management, with collaboration across business, analytics, and engineering functions. Remote opportunities may be available.