We are seeking a Azure Databricks Architect to define and lead the architecture of scalable secure and high-performance data platforms on Microsoft Azure. This role is hands-on and requires both architectural leadership and direct contribution to design development optimization and delivery. The ideal candidate will shape platform strategy while actively building proof-of-concepts reference implementations and production-grade solutions.
Key responsibilities
Own the end-to-end architecture for Azure Databricks-based data platforms including ingestion transformation storage serving and governance layers.
Design reusable frameworks ELT patterns and data models that improve delivery speed consistency and maintainability.
Build and optimize pipelines and Spark jobs directly with a strong focus on performance reliability and cost efficiency.
Architect solutions using Azure Databricks Delta Lake ADLS Azure Data Factory and related Azure platform services.
Establish governance security and code-quality standards for the platform.
Partner closely with business analysts functional teams and engineering teams to translate requirements into working solutions.
Guide troubleshooting code reviews and production support for complex data workloads.
Drive modernization and cloud-native adoption across data and analytics capabilities.
Must-have qualifications
12 years of experience in data engineering data architecture or platform engineering.
Strong hands-on experience with Azure Databricks Spark Python/Scala SQL and Delta Lake.
Proven experience designing and implementing cloud data hubs data lakes and analytical data stores.
Experience with Azure DevOps CI/CD and automated deployment practices.
Ability to work directly on technical implementation not only provide oversight.
Strong communication and stakeholder collaboration skills.
Preferred qualifications
Experience in financial services or insurance.
Knowledge of Event Hub Cosmos DB Azure Synapse or other Azure analytics services.
Databricks or Microsoft Azure certifications.
Experience with reusable frameworks shell scripting and production support in large-scale environments.
Azure Databricks Architect Client Metlife Fulltime USA Location- Miami FL( 100% onsite) We are seeking a Azure Databricks Architect to define and lead the architecture of scalable secure and high-performance data platforms on Microsoft Azure. This role is hands-on and requires both architect...
Azure Databricks Architect
Client Metlife
Fulltime
USA Location- Miami FL( 100% onsite)
We are seeking a Azure Databricks Architect to define and lead the architecture of scalable secure and high-performance data platforms on Microsoft Azure. This role is hands-on and requires both architectural leadership and direct contribution to design development optimization and delivery. The ideal candidate will shape platform strategy while actively building proof-of-concepts reference implementations and production-grade solutions.
Key responsibilities
Own the end-to-end architecture for Azure Databricks-based data platforms including ingestion transformation storage serving and governance layers.
Design reusable frameworks ELT patterns and data models that improve delivery speed consistency and maintainability.
Build and optimize pipelines and Spark jobs directly with a strong focus on performance reliability and cost efficiency.
Architect solutions using Azure Databricks Delta Lake ADLS Azure Data Factory and related Azure platform services.
Establish governance security and code-quality standards for the platform.
Partner closely with business analysts functional teams and engineering teams to translate requirements into working solutions.
Guide troubleshooting code reviews and production support for complex data workloads.
Drive modernization and cloud-native adoption across data and analytics capabilities.
Must-have qualifications
12 years of experience in data engineering data architecture or platform engineering.
Strong hands-on experience with Azure Databricks Spark Python/Scala SQL and Delta Lake.
Proven experience designing and implementing cloud data hubs data lakes and analytical data stores.
Experience with Azure DevOps CI/CD and automated deployment practices.
Ability to work directly on technical implementation not only provide oversight.
Strong communication and stakeholder collaboration skills.
Preferred qualifications
Experience in financial services or insurance.
Knowledge of Event Hub Cosmos DB Azure Synapse or other Azure analytics services.
Databricks or Microsoft Azure certifications.
Experience with reusable frameworks shell scripting and production support in large-scale environments.