Data & Analytics Solutions 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

• 14+ years of experience in Enterprise Data Architecture, AWS Data Platforms, Databricks, Data Engineering, and Cloud Modernization.
• Proven experience in Enterprise Solution architecture using AWS, Databricks and related technology components across the Data to Insights end to end value chain.
• Strong hands-on expertise in AWS Data Services, Databricks, Databricks Genie, Unity Catalog, Delta Lake, Python, PySpark, and SQL.
• Proven experience designing and implementing Lakehouse Architectures, enterprise data platforms, and modern analytics solutions on AWS.
• Strong understanding of the Databricks Data Intelligence Platform, including Databricks SQL, Workflows, Lakeflow, MLflow, Unity Catalog, Serverless Compute, and Performance Optimization.
• Experience building AI-enabled analytics solutions using Databricks Genie, semantic models, natural language analytics, and governed data access frameworks.
• Expertise in Data Engineering including ETL/ELT, batch and streaming integration, APIs, orchestration, data quality, metadata management, lineage, observability, and DataOps practices.
• Strong knowledge of Enterprise Data Architecture, including data models, data products, lakehouse and warehouse patterns, semantic layers, and master/reference data management.
• Experience implementing Security, Governance, and Compliance controls including IAM/RBAC, encryption, privacy, masking, auditability, retention, and responsible AI practices.
• Proven experience leading architecture definition, HLD/LLD preparation, NFR assessment, migration planning, technical governance, and production readiness activities.
• Experience supporting cloud transformation initiatives, solutioning, RFP responses, effort estimation, and client-facing architecture discussions.
• Good understanding of BFSI regulatory, security, privacy, resilience, and audit requirements.
• Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Management, or a related discipline.
• Preferred certifications in AWS Solutions Architecture, Databricks, Data Engineering, Enterprise Architecture, Security, or AI/ML.