Azure Databricks Architect || Fulltime/Permanent ONLY

Miami, FL, US • Posted 15 hours ago • Updated 9 hours ago
Full Time
On-site
Depends on Experience
Fitment

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Job Details

Skills

  • Azure Databricks Architect
  • Azure Databricks
  • Spark
  • Python
  • Scala
  • SQL
  • Delta Lake
  • Cloud
  • Data Hub
  • Data Stores
  • CI/CD
  • Azure
  • Insurance
  • Azure Synapse
  • Cosmos DB
  • Event Hub
  • Azure Certification
  • Databricks Certification
  • ETL
  • ELT
  • ADF
  • Azure Data Factory

Summary

Role: Azure Databricks Architect

Location: Miami, FL ( 5 Days Onsite )

Job Type: Fulltime/Permanent

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.
  • 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.

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10119106
  • Position Id: 9042749
  • Posted 15 hours ago
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AS

Alex Syed Jordan

Recruiter @ New York Technology Partners
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