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. About Cognizant: Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant. Additional employment information Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview. Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws. If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com for roles based in the Americas or CareersIndia2@cognizant.com for roles based in India.

Requirements

Must-haves

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
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

Nice-to-haves

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.

Application prep

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Keywords to mirror

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Platform: cognizant
Effort: medium