RSA Tech
Azure Databricks Lead with ODI -W2
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an "Azure Databricks Lead with ODI" in Detroit, MI, for 24+ months, paying $55.00 - $65.00 per hour. Requires 14+ years of experience, expertise in Databricks, PySpark, cloud-native architecture, and data governance.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
520
-
🗓️ - Date
January 10, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Detroit, MI 48214
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🧠 - Skills detailed
#JDBC (Java Database Connectivity) #DataOps #ODI (Oracle Data Integrator) #Data Warehouse #Kafka (Apache Kafka) #Cloud #ADF (Azure Data Factory) #Databricks #PySpark #Scrum #Agile #Strategy #Oracle #Data Strategy #Data Management #Azure #BI (Business Intelligence) #Data Engineering #Data Processing #Hadoop #Spark (Apache Spark) #Databases #"ETL (Extract #Transform #Load)" #Data Governance #Database Architecture #ODBC (Open Database Connectivity) #Scala #Azure Databricks
Role description
Job Title: Azure Databricks Lead with Oracle ODI
Location : Detroit MI – Onsite
Duration : 24+ Months
Responsibilities:
Configure and leverage JDBC/ODBC connections to integrate ODI with Databricks, enabling seamless data transfer and transformation within the Databricks environment.
Develop modern data solutions and architecture for cloud-native data platforms.
Build cost-effective infrastructure in Databricks and orchestrate workflows using Databricks/ADF.
Lead data strategy sessions focused on scalability, performance, and flexibility.
Collaborate with customers to implement solutions for data modernization.
Create training plans and learning materials to upskill VM associates.
Build a smart operations framework for DataOps and MLOps.
Requirements
Should have 14+ years of experience with last 4 years in implementing Cloud native end-to-end Data Solutions in Databricks from ingestion to consumption to support variety of needs such as Modern Data warehouse, BI, Insights and Analytics
Should have experience in architecture and implementing End to End Modern Data Solutions using Azure and advance data processing frameworks like Databricks etc.
Experience with Databricks, PySpark, and modern data platforms.
Proficiency in cloud-native architecture and data governance.
Strong experience in migrating from on-premises to cloud solutions (Spark, Hadoop to Databricks).
Understanding of Agile/Scrum methodologies.
Demonstrated knowledge of data warehouse concepts. Strong understanding of Cloud native databases, columnar database architectures
Ability to work with Data Engineering teams, Data Management Team, BI and Analytics in a complex development IT environment.
Good appreciation and at least one implementation experience on processing substrates in Data Engineering - such as ETL Tools, Kafka, ELT techniques
Data Mesh and Data Products designing, and implementation knowledge will be an added advantage.
Interested drop resume to uday@rsatechgroup.com
Job Types: Full-time, Contract
Pay: $55.00 - $65.00 per hour
Expected hours: 40 per week
Work Location: In person
Job Title: Azure Databricks Lead with Oracle ODI
Location : Detroit MI – Onsite
Duration : 24+ Months
Responsibilities:
Configure and leverage JDBC/ODBC connections to integrate ODI with Databricks, enabling seamless data transfer and transformation within the Databricks environment.
Develop modern data solutions and architecture for cloud-native data platforms.
Build cost-effective infrastructure in Databricks and orchestrate workflows using Databricks/ADF.
Lead data strategy sessions focused on scalability, performance, and flexibility.
Collaborate with customers to implement solutions for data modernization.
Create training plans and learning materials to upskill VM associates.
Build a smart operations framework for DataOps and MLOps.
Requirements
Should have 14+ years of experience with last 4 years in implementing Cloud native end-to-end Data Solutions in Databricks from ingestion to consumption to support variety of needs such as Modern Data warehouse, BI, Insights and Analytics
Should have experience in architecture and implementing End to End Modern Data Solutions using Azure and advance data processing frameworks like Databricks etc.
Experience with Databricks, PySpark, and modern data platforms.
Proficiency in cloud-native architecture and data governance.
Strong experience in migrating from on-premises to cloud solutions (Spark, Hadoop to Databricks).
Understanding of Agile/Scrum methodologies.
Demonstrated knowledge of data warehouse concepts. Strong understanding of Cloud native databases, columnar database architectures
Ability to work with Data Engineering teams, Data Management Team, BI and Analytics in a complex development IT environment.
Good appreciation and at least one implementation experience on processing substrates in Data Engineering - such as ETL Tools, Kafka, ELT techniques
Data Mesh and Data Products designing, and implementation knowledge will be an added advantage.
Interested drop resume to uday@rsatechgroup.com
Job Types: Full-time, Contract
Pay: $55.00 - $65.00 per hour
Expected hours: 40 per week
Work Location: In person
