Find Jobs

Find Jobs Near You – Available Work in Your Location

Skip to job details

Back to Results

Apply for this opportunity

To apply for this job, you'll continue to an external website or email application.

Apply Offsite

Arkhya Tech. Inc.

Data Architect

Pay: Not specified

Posted: 2 weeks ago

Location: Clark, NJ

Last Updated: 4 days ago

Hours: Full-Time

Expires: 11/23/2026

See Job Scorecard

Review key factors to help you decide if the role fits your goals.

How is this calculated?

Pay Growth

out of 5

Not enough data

Not enough info to score pay or growth

Job Security

out of 5

Not enough data

Calculating job security score...

Total Score

out of 100

Average of individual scores

Were these scores useful?

Job Description

Data Architect at Arkhya Tech. Inc. Data Architect at Arkhya Tech. Inc. in Clark, New Jersey Posted in 15 days ago.

Type:

full-time

Job Description:

Role :

Azure Data Architect with

Databricks Expertise Location :

Iselin, NJ (Hybrid)

Long-Term Contract Experience :

15+

Job Description:

We are seeking highly skilled Azure Data Architect with strong expertise in 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.

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.

Key Responsibilities:

Build and maintain scalable ETL/ELT pipelines using Databricks. Leverage PySpark/Spark and SQL to transform and process large datasets Optimize Databricks workloads for cost efficiency and performance Leverage Databricks Asset Bundles for seamless deployment of Databricks jobs, notebooks and configurations across environments.