Cognizant

Databricks Architect

Cognizant$135K — $160K *
Information Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • 12+ years of experience in Data Engineering/Data Architecture.
  • 5+ years of hands-on experience with Databricks Architecture.
  • Proficiency in Databricks Lakehouse, Apache Spark/PySpark, Delta Lake, and Unity Catalog.
  • AWS Cloud experience (including S3, IAM, and security).
  • Strong background in data governance, security, and compliance frameworks.

Responsibilities

  • Design and implement a comprehensive Databricks Lakehouse architecture.
  • Lead modernization efforts to migrate data from legacy systems to Databricks.
  • Architect and create scalable ELT/ETL pipelines with Databricks and Python.
  • Establish data governance and management strategies using Unity Catalog.
  • Design solutions for both batch and real-time data processing.
  • Guide architecture for cloud-native applications on AWS.
  • Collaborate with various teams to define effective data strategies.
  • Mentor and support data engineers throughout project lifecycles.

Benefits

  • Hybrid work environment located in Sarasota, FL.
  • Exposure to cutting-edge technologies in data engineering.
  • Opportunity to mentor and develop less experienced team members.
  • Involvement in significant data modernization initiatives.
  • A chance to work closely with business, analytics, and engineering teams on impactful projects.
Full 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

Location : Sarasota, FL (hybrid)

Job Summary

We are seeking an experienced Databricks Architect to lead the design and implementation of FCCI's 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.


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.

About Cognizant

TriZetto is Powering Integrated Healthcare Management. With technology solutions touching more than half the U.S. population today, TriZetto is uniquely positioned to drive the convergence of core benefit administration, care management and constituent engagement. TriZetto provides premier information technology solutions that enable payers and other constituents in the healthcare supply chain to improve the coordination of benefits and care for healthcare consumers.

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Learn more about Cognizant
Size
340,400 employees
Market Cap
$28.7 billion
Industry
Net Income
$1.3 billion
Founded
1994
5 Year Trend
+6.5%
Revenue
$16.6 billion
NASDAQ

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