Cloud-First Data Platform Architect (Petabyte-Scale)

Shiv Software Experts; Jersey City (NJ); On-site; USD 150,000 - 230,000; Full time

Job summary

Shiv Software Experts in Jersey City seeks an experienced Data Platform Architect to lead the modernization of the enterprise data ecosystem, defining the architecture for large-scale transformations across on-prem and cloud environments.

You will drive migration of multi-petabyte data environments to cloud-native analytics, design scalable, secure data architectures, and establish governance, standards, and engineering best practices across teams.

Qualifications

• 10+ years of experience in data platform architecture, data engineering, or distributed systems.
• Experience leading enterprise-scale cloud migration initiatives involving hundreds of terabytes or petabytes of data.
• Large-scale data warehouse or lakehouse platforms
• Experience migrating data from platforms such as Vertica, Hadoop, Teradata, Oracle, Snowflake, or similar technologies.
• Strong understanding of data governance, security, compliance, and operational monitoring.
• Bachelor’s Degree

Responsibilities

• Define the target-state architecture for enterprise data platforms and cloud-native analytics solutions.
• Lead the migration of large-scale data environments from on-premises platforms to a cloud environment.
• Design scalable, resilient, and secure data architectures capable of supporting petabyte-scale workloads.
• Establish architectural standards, governance frameworks, and engineering best practices.

Education

Bachelor’s Degree

Tools

Databricks

AMPS

MQ

Hadoop

Java

Python

SQL

Job description

Shiv Software Experts in Jersey City seeks an experienced Data Platform Architect to lead the modernization of the enterprise data ecosystem, defining the architecture for large-scale transformations across on-prem and cloud environments.

You will drive migration of multi-petabyte data environments to cloud-native analytics, design scalable, secure data architectures, and establish governance, standards, and engineering best practices across teams.