1 of 3 free roles viewed today. Upgrade to premium for unlimited from only $19.99 with a 2-day free trial.

Azure Data Architect

This role is for an Azure Data Architect with a 10-month contract in Warren, NJ, requiring 3 days in-office. Key skills include Databricks, Azure Data Platform, data governance, and proficiency in Python, SQL, and Spark.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
March 8, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
On-site
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Warren, NJ
🧠 - Skills detailed
#Python #DataOps #Java #Spark (Apache Spark) #Cloud #SQL (Structured Query Language) #React #Deployment #PostgreSQL #Data Bricks #Automation #Azure #ML (Machine Learning) #HTML (Hypertext Markup Language) #Kafka (Apache Kafka) #Scala #Data Architecture #Data Science #Data Modeling #Data Governance #AWS (Amazon Web Services) #Data Pipeline #Databricks #PySpark #ADF (Azure Data Factory)
Role description
You've reached your limit of 3 free role views today.
Upgrade to premium for unlimited access - from only $19.99.

Title: Databricks & Azure Data Platform Architect

Duration -10months

Location – Warren, NJ (3 days office is must)

Note -This role is Mix of Databricks & Azure Data Platform architect and Principal Engineer who is hands on

Core skills

·        DATA BRICKS

·        Unity Catalog

·        Unity Catalog Governance

·        Data Governance

·        Data Modeling

·        Azure, AWS, ADF,

·        Spark, Py-Spark,

·        Spark Streaming,

·        ML, MLOPs,

Languages: Python, SQL, Scala, Shell Script, Java, ReactJS, HTML, CSS, PostgreSQL

Kafka

Responsibilities -

·        A senior technical expert responsible for designing, building, and optimizing data solutions using Databricks and Azure Data technologies.

·        This principal engineer /Architect oversees the architecture, integration, design, development and deployment of reusable patterns and solutions ensuring that they are scalable, secure and efficient. -Responsible for managing the platform effectively with automation and leverage emerging capabilities in the marketplace.

·        It requires proven experience of working with developers, analysts, and data scientists to implement data pipelines, real-time analytics machine learning models.

·        This Architect / engineer ensures modern best practices are developed and adhered to in a cloud data ecosystem for data governance, data architecture and DataOps, while providing guidance on performance tuning, cost optimization and system Platform m reliability.