Databricks Architect

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

No Visa transfer/ C2C/ Sponsorship available for this role

Must have 12+ years of experience to be considered.

Job Title- Databricks Architect

Experience: 12+ Years

Remote

Job Summary

We are seeking 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. Experience in the Insurance/P&C domain is highly preferred. This role will drive architecture decisions, establish best practices, and support the modernization of legacy data platforms into a scalable Databricks ecosystem.

Key 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. Required Skills
• 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 (S3, IAM, networking, security, cloud architecture).
• Experience designing enterprise data models and data integration patterns.
• Strong knowledge of data governance, security, and compliance frameworks.
• Experience with large-scale cloud migration and modernization initiatives.
• Excellent stakeholder management and communication skills.

Preferred Skills

• P&C Insurance domain experience.
• Databricks Certified Professional/Associate certification.
• Experience with AI/ML and MLOps on Databricks.
• Experience with Terraform and Infrastructure as Code.
• Exposure to Snowflake and modern analytics platforms.
• Experience with real-time streaming and event-driven architectures.

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.