Senior Data & Analytics Lakehouse Architect

Prism IT Global; New Jersey; On-site; USD 140,000 - 170,000; Full time

Job summary

Prism IT Global in the United States (New Jersey) is hiring a senior Enterprise Data Architect to lead architecture definition and cloud modernization across data platforms on AWS and Databricks. You will design lakehouse architectures, govern data access, and guide governance and security strategies.

The role requires hands-on expertise with AWS data services, Databricks, Python, PySpark, SQL, and strong client-facing communication for RFP responses and migration planning.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Management, or related discipline.
• Extensive experience in Enterprise Data Architecture and AWS/Databricks across the data-to-insights value chain.
• Strong hands-on expertise with AWS Data Services, Databricks, Python, PySpark, and SQL.
• Knowledge of governance, security controls (IAM/RBAC), encryption, and regulatory compliance.

Responsibilities

• Lead architecture definition with HLD/LLD and migration planning.
• Engage in solutioning, RFP responses, effort estimation, and client discussions.
• Oversee production readiness, governance, and security/privacy controls.
• Drive cloud transformation and data platform modernization initiatives.

Skills

Enterprise Data Architecture

AWS Data Platforms

Databricks

Data Engineering

Cloud Modernization

Lakehouse Architectures

Delta Lake

Python

SQL

Data Governance & Security

Education

Bachelor’s degree in Computer Science/Engineering/Information Systems/Data Management or related field

Tools

Databricks Genie

Unity Catalog

Delta Lake

Databricks SQL

MLflow

Workflows

Job description

Prism IT Global in the United States (New Jersey) is hiring a senior Enterprise Data Architect to lead architecture definition and cloud modernization across data platforms on AWS and Databricks. You will design lakehouse architectures, govern data access, and guide governance and security strategies.

The role requires hands-on expertise with AWS data services, Databricks, Python, PySpark, SQL, and strong client-facing communication for RFP responses and migration planning.