taleo
Databricks Architect
Cognizant
Sarasota, USA
Full-time
Senior · 12+ years experience
Hybrid
Discovered 2 weeks ago
DatabricksApache SparkPySparkDelta LakeDatabricks WorkflowsUnity Catalog
Free
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DatabricksApache SparkPySpark
Role Overview
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 Skills for This Role
DatabricksApache SparkPySparkDelta LakeDatabricks WorkflowsUnity Catalog
Full Job Posting
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.
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