Senior BI Platform Architect

Tata Consultancy Services Limited; New York (NY); Sur place; USD 80 000 - 90 000; Plein temps

Avantages offerts par ce poste

Discretionary incentive

Medical coverage

Parental leave

Insurance options

Training reimbursement

Vacation time

Holidays

401K plan

Performance bonus

College fund

Student loan help

Résumé du poste

Tata Consultancy Services Limited in New York, NY is seeking an Advanced BI Administrator to oversee enterprise BI platforms including Power BI, SAP BusinessObjects (BOXI), Tableau, and Qlik. You will manage administration, governance, security, automation, and L3 support.

The role emphasizes platform modernization, cloud migration, performance optimization, RBAC/RLS, data lineage, and collaboration with Data Engineering teams supporting Snowflake, Databricks, SQL Server, Azure Data Factory,

Qualifications

• 8+ years of enterprise BI platform administration and support.
• Experience with Power BI, SAP BusinessObjects BOXI, Tableau, and Qlik Sense/View.
• Strong RBAC, data privacy controls and governance practices.

Responsabilités

• Administer and maintain BI platforms (Power BI, BOXI, Tableau, Qlik).
• Manage BI infrastructure, gateways, datasets, and reporting environments.
• Perform platform installation, upgrades, patching and lifecycle management.
• Ensure platform availability, reliability, scalability and stability.
• Oversee RBAC, RLS and data privacy across environments (Dev, Test, UAT, Prod).
• Provide L2/L3 production support for BI incidents and outages.
• Automate admin tasks using PowerShell, REST APIs, and scripting.

Connaissances

SQL

Powershell

Formation

Bachelor of Computer Science

Description du poste

Tata Consultancy Services Limited in New York, NY is seeking an Advanced BI Administrator to oversee enterprise BI platforms including Power BI, SAP BusinessObjects (BOXI), Tableau, and Qlik. You will manage administration, governance, security, automation, and L3 support.

The role emphasizes platform modernization, cloud migration, performance optimization, RBAC/RLS, data lineage, and collaboration with Data Engineering teams supporting Snowflake, Databricks, SQL Server, Azure Data Factory,