Azure Data Architect - Contract - W2 - Edison, NJ - Onsite

Overview

On Site
$65 - $70
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

Azure
Data Architect
ETL Tools
Kafka
ELT techniques
BI
Analytics
Spark
Hadoop
Databricks
PySpark
DataOps
MLOps.
ADF
Azure Data Factory
P&C insurance
Azure databricks

Job Details

Role: Azure Data Architect

Location: Edison New Jersey - Onsite 5 Days

Duration: 12+ Months

Primary Skill: Azure Databricks

Domain: Must have Domain experience in Property and Casualty (P&C) insurance.

Responsibilities:

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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