

Flexton Inc.
Principal Data Engineer – Azure Databricks
⭐ - Featured Role | Apply direct with Data Freelance Hub
Nothing Found.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
May 19, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Milpitas, CA
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🧠 - Skills detailed
#Data Architecture #Cloud #Data Modeling #SQL (Structured Query Language) #ADLS (Azure Data Lake Storage) #Python #Azure ADLS (Azure Data Lake Storage) #Data Engineering #Data Processing #Databricks #"ETL (Extract #Transform #Load)" #Storage #Agile #Azure Data Factory #Azure #Delta Lake #Data Lake #Data Ingestion #Security #Spark SQL #Azure Databricks #Scala #Spark (Apache Spark) #ADF (Azure Data Factory) #Data Lakehouse #Leadership #PySpark
Role description
Principal Data Engineer – Azure Databricks
Location- Milpitas
Pay Rate: 73-76$/hr
4-5 days Onsite
Seeking a highly skilled Principal Azure Data Engineer to lead the design, architecture, and delivery of enterprise-scale Data Lakehouse solutions on Azure Databricks. This is a senior-level role within the Analytics organization, responsible for building scalable and secure analytics platforms by ingesting data from multiple enterprise systems, transforming it into trusted and governed data products, and enabling business-critical analytics across Procurement, Vendor Management, and Inventory domains.
The ideal candidate will possess deep hands-on engineering expertise, strong business domain knowledge, and proven technical program management capabilities to drive complex cross-functional initiatives.
Role distribution:
• 50% Hands-on Engineering
• 25% Domain Knowledge
• 25% Technical Program Management
Required Qualifications:
• 10+ years of experience in data engineering, analytics engineering, or enterprise data platforms.
• Strong hands-on experience with Azure Databricks and modern cloud data architectures.
• Expertise in data ingestion, data transformation, and enterprise analytics solutions.
• Strong expertise in PySpark, Spark SQL, and Delta Lake.
• Proven experience designing and implementing enterprise-scale Data Lakehouse architectures.
• Strong experience building and managing data products with embedded governance and security.
• Hands-on expertise with:
• Azure Databricks
• PySpark
• Spark SQL
• Python
• Delta Lake
• Data Lakehouse architecture
• Azure Data Factory
• Azure Data Lake Storage (ADLS)
• Strong understanding of data modeling, ETL/ELT, and distributed data processing.
• Experience working with procurement, inventory, vendor support, or supply chain analytics domains.
• Domain knowledge in Procurement, Supply Chain, or Inventory Management.
• Experience managing cross-functional delivery in an agile environment.
• Excellent communication and stakeholder management skills, with the ability to present technical solutions and program updates to senior leadership and business stakeholders.
Principal Data Engineer – Azure Databricks
Location- Milpitas
Pay Rate: 73-76$/hr
4-5 days Onsite
Seeking a highly skilled Principal Azure Data Engineer to lead the design, architecture, and delivery of enterprise-scale Data Lakehouse solutions on Azure Databricks. This is a senior-level role within the Analytics organization, responsible for building scalable and secure analytics platforms by ingesting data from multiple enterprise systems, transforming it into trusted and governed data products, and enabling business-critical analytics across Procurement, Vendor Management, and Inventory domains.
The ideal candidate will possess deep hands-on engineering expertise, strong business domain knowledge, and proven technical program management capabilities to drive complex cross-functional initiatives.
Role distribution:
• 50% Hands-on Engineering
• 25% Domain Knowledge
• 25% Technical Program Management
Required Qualifications:
• 10+ years of experience in data engineering, analytics engineering, or enterprise data platforms.
• Strong hands-on experience with Azure Databricks and modern cloud data architectures.
• Expertise in data ingestion, data transformation, and enterprise analytics solutions.
• Strong expertise in PySpark, Spark SQL, and Delta Lake.
• Proven experience designing and implementing enterprise-scale Data Lakehouse architectures.
• Strong experience building and managing data products with embedded governance and security.
• Hands-on expertise with:
• Azure Databricks
• PySpark
• Spark SQL
• Python
• Delta Lake
• Data Lakehouse architecture
• Azure Data Factory
• Azure Data Lake Storage (ADLS)
• Strong understanding of data modeling, ETL/ELT, and distributed data processing.
• Experience working with procurement, inventory, vendor support, or supply chain analytics domains.
• Domain knowledge in Procurement, Supply Chain, or Inventory Management.
• Experience managing cross-functional delivery in an agile environment.
• Excellent communication and stakeholder management skills, with the ability to present technical solutions and program updates to senior leadership and business stakeholders.






