What are the responsibilities and job description for the Azure Databricks Architect position at Veracity Software Inc?
Full time
Miami, FL
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
Miami, FL
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.
- 15 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.
- 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.