Databricks Architect (Airflow)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Databricks Architect (Airflow) with a contract length of "unknown," offering a pay rate of "unknown" and remote work location. Requires 8+ years in data engineering, strong Databricks and Airflow expertise, and cloud platform experience.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
June 1, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Data Modeling #Monitoring #Cloud #SQL (Structured Query Language) #Big Data #Agile #Terraform #"ETL (Extract #Transform #Load)" #Apache Airflow #MLflow #Spark (Apache Spark) #DevOps #Data Architecture #Azure DevOps #Databricks #AWS (Amazon Web Services) #Airflow #Data Pipeline #GitHub #Delta Lake #Azure #GCP (Google Cloud Platform) #Python #Data Engineering
Role description
Required Skills and Qualifications:
• 8+ years of experience in data engineering, cloud architecture, or similar roles.
• 3+ years of hands-on experience with Databricks (Spark, Delta Lake).
• Strong expertise in Apache Airflow (DAG design, orchestration patterns, monitoring).
• Proficiency in Python, SQL, and data modeling.
• Deep understanding of big data architectures, ETL/ELT workflows, and streaming data pipelines.
• Experience with cloud platforms like Azure, AWS, or GCP.
• Familiarity with DevOps practices and CI/CD tools (e.g., GitHub Actions, Azure DevOps).
• Strong problem-solving skills and the ability to work in a fast-paced, agile environment.
Preferred Qualifications:
• Databricks certification (e.g., Databricks Certified Data Engineer or Solutions Architect).
• Experience with MLflow, Delta Live Tables, or Unity Catalog.
• Experience in deploying data solutions in highly regulated industries.
• Knowledge of infrastructure-as-code tools like Terraform or ARM templates.
Required Skills and Qualifications:
• 8+ years of experience in data engineering, cloud architecture, or similar roles.
• 3+ years of hands-on experience with Databricks (Spark, Delta Lake).
• Strong expertise in Apache Airflow (DAG design, orchestration patterns, monitoring).
• Proficiency in Python, SQL, and data modeling.
• Deep understanding of big data architectures, ETL/ELT workflows, and streaming data pipelines.
• Experience with cloud platforms like Azure, AWS, or GCP.
• Familiarity with DevOps practices and CI/CD tools (e.g., GitHub Actions, Azure DevOps).
• Strong problem-solving skills and the ability to work in a fast-paced, agile environment.
Preferred Qualifications:
• Databricks certification (e.g., Databricks Certified Data Engineer or Solutions Architect).
• Experience with MLflow, Delta Live Tables, or Unity Catalog.
• Experience in deploying data solutions in highly regulated industries.
• Knowledge of infrastructure-as-code tools like Terraform or ARM templates.
