Databricks Lakehouse Architect - Cloud Data Modernization

Cognizant; Concord (NH); Remote; USD 150,000 - 210,000; Full time

Job summary

Cognizant is seeking an experienced Databricks Architect to lead design and implementation of enterprise data modernization initiatives. The ideal candidate will have deep expertise in Databricks Lakehouse, Spark, Delta Lake, Unity Catalog, and AWS cloud technologies, with a proven track record in large-scale data migrations.

You will define data governance, architect scalable ELT/ETL pipelines, mentor data engineers, and collaborate with stakeholders across business, analytics, and engineering

Qualifications

• 12+ years of Data Engineering/Data Architecture experience.
• 5+ years of hands-on Databricks Architecture experience.
• Strong knowledge of Databricks Lakehouse and Spark.
• Experience with AWS cloud technologies and data migrations.

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 data governance, lineage, and metadata management strategies.
• Design batch and real-time data processing solutions.
• Provide architecture guidance for cloud-native AWS solutions.
• Collaborate with business, analytics, and engineering teams on data strategies.
• Establish best practices for data quality, monitoring, and cost optimization.
• Create architecture standards, reference architectures, and docs.
• Mentor data engineers and technical leads across the lifecycle.
• Evaluate emerging technologies and AI/ML in Databricks ecosystem.

Skills

Stakeholder management

Communication

Team leadership

Enterprise-level thinking

Tools

Databricks Lakehouse

Apache Spark/PySpark

Delta Lake

Databricks Workflows

Unity Catalog

Databricks SQL

Python

SQL

AWS (S3, IAM)

Terraform

Snowflake (exposure)

Job description

Cognizant is seeking an experienced Databricks Architect to lead design and implementation of enterprise data modernization initiatives. The ideal candidate will have deep expertise in Databricks Lakehouse, Spark, Delta Lake, Unity Catalog, and AWS cloud technologies, with a proven track record in large-scale data migrations.

You will define data governance, architect scalable ELT/ETL pipelines, mentor data engineers, and collaborate with stakeholders across business, analytics, and engineering