What are the responsibilities and job description for the Azure Databricks Architect position at Elista Global LLC?
Azure Databricks Architect –
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.
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.