Senior Onsite Data Architect — Enterprise Analytics Lead

Consult

Short Hills (NJ)

On-site

USD 117,000 - 193,000

Full time

2 days ago
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Job summary

Bright Vision Technologies is seeking an experienced, hands-on Data Architect to lead enterprise data integration, data warehousing, and analytics delivery on an onsite basis in the United States. The role requires deep expertise in Informatica PowerCenter/IICS, SQL Server, and Netezza, with strong technical leadership and stakeholder engagement.

You will partner with business users, Product Owners, Project Managers, QA teams, and offshore teams to translate requirements into scalable data

Qualifications

  • Hands-on with Informatica PowerCenter and/or IICS required.
  • Strong experience with Microsoft SQL Server, advanced SQL development, stored procedures, performance tuning.
  • Experience with IBM Netezza data warehouse solutions.
  • Experience with Databricks, Delta Lake, lakehouse patterns, or ETL modernization.
  • Experience with Power BI for enterprise dashboards and data modeling.

Responsibilities

  • Lead enterprise data integration, data warehousing, and analytics delivery.
  • Bridge between business users, Product Owners, Project Managers, QA teams, and offshore development teams.
  • Translate business needs into reliable technical solutions and drive execution from requirements through production deployment.

Skills

Informatica PowerCenter
Informatica Intelligent Cloud Services
Microsoft SQL Server
Databricks
Power BI
Netezza
ETL
Data integration
Data warehousing

Tools

SQL Server
Databricks

Job description

Bright Vision Technologies is seeking an experienced, hands-on Data Architect to lead enterprise data integration, data warehousing, and analytics delivery on an onsite basis in the United States. The role requires deep expertise in Informatica PowerCenter/IICS, SQL Server, and Netezza, with strong technical leadership and stakeholder engagement.

You will partner with business users, Product Owners, Project Managers, QA teams, and offshore teams to translate requirements into scalable data

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Equal Opportunity Employer