Rivago
Databricks Architect with MDM
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Databricks Architect with MDM expertise, requiring skills in Databricks, Kafka, Snowflake, GraphQL, SQL, and Python. The contract length is unspecified, with a competitive pay rate. Remote work is available, and Azure Data Engineer or Databricks certifications are preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 11, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Iselin, NJ
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🧠 - Skills detailed
#Cloud #SQL (Structured Query Language) #PySpark #Azure cloud #Azure Blob Storage #Microservices #Python #Triggers #ADLS (Azure Data Lake Storage) #Version Control #Azure #Datasets #Snowflake #GraphQL #MDM (Master Data Management) #Databricks #Databases #Delta Lake #Data Processing #Data Security #Data Engineering #Compliance #Storage #Security #Scala #Big Data #Kafka (Apache Kafka) #Spark (Apache Spark) #Data Pipeline #"ETL (Extract #Transform #Load)" #BI (Business Intelligence) #GitLab #Deployment
Role description
Required :
MDM
Databricks
Kafka
Snowflakes
GraphQL
SQL
Python
Microservices
Job Summary:
We are seeking highly skilled Databrick Architect with strong expertise in MDM SQL, Python, Datawarehouse, Cloud ETL tools to join our data team. The ideal candidate will design, implement and optimize large-scale data pipeline, ensuring scalability, reliability and performance. This role involves working closely with multiple teams and business stakeholders to deliver cutting-edge data solutions.
Key Responsibilities:
Data Pipeline Development:
Build and maintain scalable ETL/ELT pipelines using Databricks.
Leverage PySpark/Spark and SQL to transform and process large datasets.
Integrate data from multiple sources including Azure Blob Storage, ADLS and other relational/non-relational systems.
Collaboration & Analysis:
Work Closely with multiple teams to prepare data for dashboard and BI Tools.
Collaborate with cross-functional teams to understand business requirements and deliver tailored data solutions.
Performance & Optimization:
Optimize Databricks workloads for cost efficiency and performance.
Monitor and troubleshoot data pipelines to ensure reliability and accuracy.
Governance & Security:
Implement and manage data security, access controls and governance standards using Unity Catalog.
Ensure compliance with organizational and regulatory data policies.
Deployment:
Leverage Databricks Asset Bundles for seamless deployment of Databricks jobs, notebooks and configurations across environments.
Manage version control for Databricks artifacts and collaborate with team to maintain development best practices.
Technical Skills:
Strong expertise in Databricks (Delta Lake, Unity Catalog, Lakehouse Architecture, Table Triggers, Delta Live Pipelines, Databricks Runtime etc.)
Proficiency in Azure Cloud Services.
Solid Understanding of Spark and PySpark for big data processing.
Experience in relational databases.
Knowledge on Databricks Asset Bundles and GitLab.
Preferred Experience:
Familiarity with Databricks Runtimes and advanced configurations.
Knowledge of streaming frameworks like Spark Streaming.
Experience in developing real-time data solutions.
Certifications:
Azure Data Engineer Associate or Databricks certified Data Engineer Associate certification. (Optional)
Required :
MDM
Databricks
Kafka
Snowflakes
GraphQL
SQL
Python
Microservices
Job Summary:
We are seeking highly skilled Databrick Architect with strong expertise in MDM SQL, Python, Datawarehouse, Cloud ETL tools to join our data team. The ideal candidate will design, implement and optimize large-scale data pipeline, ensuring scalability, reliability and performance. This role involves working closely with multiple teams and business stakeholders to deliver cutting-edge data solutions.
Key Responsibilities:
Data Pipeline Development:
Build and maintain scalable ETL/ELT pipelines using Databricks.
Leverage PySpark/Spark and SQL to transform and process large datasets.
Integrate data from multiple sources including Azure Blob Storage, ADLS and other relational/non-relational systems.
Collaboration & Analysis:
Work Closely with multiple teams to prepare data for dashboard and BI Tools.
Collaborate with cross-functional teams to understand business requirements and deliver tailored data solutions.
Performance & Optimization:
Optimize Databricks workloads for cost efficiency and performance.
Monitor and troubleshoot data pipelines to ensure reliability and accuracy.
Governance & Security:
Implement and manage data security, access controls and governance standards using Unity Catalog.
Ensure compliance with organizational and regulatory data policies.
Deployment:
Leverage Databricks Asset Bundles for seamless deployment of Databricks jobs, notebooks and configurations across environments.
Manage version control for Databricks artifacts and collaborate with team to maintain development best practices.
Technical Skills:
Strong expertise in Databricks (Delta Lake, Unity Catalog, Lakehouse Architecture, Table Triggers, Delta Live Pipelines, Databricks Runtime etc.)
Proficiency in Azure Cloud Services.
Solid Understanding of Spark and PySpark for big data processing.
Experience in relational databases.
Knowledge on Databricks Asset Bundles and GitLab.
Preferred Experience:
Familiarity with Databricks Runtimes and advanced configurations.
Knowledge of streaming frameworks like Spark Streaming.
Experience in developing real-time data solutions.
Certifications:
Azure Data Engineer Associate or Databricks certified Data Engineer Associate certification. (Optional)
