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# Senior Group Technical Architect

- **Company:** HCL America, Inc.
- **Location:** United States
- **Experience:** Expert
- **Salary:** $145,000.0 - $211,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Microsoft Azure, Business Intelligence Development, Big Data, Computer Programming, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Security, Data Warehousing, IBM InfoSphere DataStage, Python (Programming Language), Power BI, Cloud Services, Data Mesh, PL-SQL, SQL Databases, SQL Server Integration Services, Tableau (Software), Enterprise Data Management, Cloud Platform System, Azure Data Factory, Informatica Powercenter, Snowflake, Microsoft Fabric, Data Lakes, Pyspark, Data Analytics, Data Management, Azure Synapse Analytics, Databricks
- **Published:** October 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=bee783e24d712358

## About the Role

Cloud Data Platforms

 * Azure Data Platform
 * Databricks, * Power BI
 * Tableau
 * ThoughtSpot
 * Enterprise Reporting & Dashboarding

Data Engineering

 * ETL/ELT Architecture
 * Informatica PowerCenter
 * DataStage
 * SSIS
 * Data Warehousing Concepts
 * Data Modeling

Programming

 * Python
 * PySpark
 * SQL / PL-SQL, Python,Data Engineering

## Description

We are looking for an experienced Business Intelligence & Data Engineering Leader to lead large-scale data modernization, analytics transformation, and cloud data platform initiatives. The ideal candidate should possess strong expertise in BI strategy, data engineering, cloud analytics, architecture governance, and delivery leadership, with a proven track record of managing global teams and driving enterprise data programs.

This role will be responsible for defining data architecture roadmaps, modernizing legacy BI environments, establishing data governance standards, and delivering scalable analytics solutions that enable data-driven decision-making across the organization., Lead BI and Data Engineering transformation programs across enterprise customers.Define and implement Data & Analytics strategy aligned with business objectives.Architect scalable cloud-based data platforms using Azure, Databricks, Snowflake, and related technologies.Drive BI modernization initiatives, migration programs, and analytics platform optimization.Lead enterprise ELT/ETL framework design and implementation.Establish data governance, security, compliance, and quality standards.Partner with business stakeholders, product owners, and executive leadership to drive data-centric decisions.Lead global onsite/offshore delivery teams and ensure operational excellence.Oversee production support, platform reliability, SLA compliance, and performance optimization.Mentor architects, data engineers, BI developers, and analytics teams., * Data Governance

 * Data Quality Frameworks
 * Data Security & Compliance
 * Platform Monitoring & Reliability
 * Production Support Management

Preferred Skills

 * Azure Synapse Analytics
 * Data Lake Architecture
 * Modern Data Mesh/Data Fabric concepts
 * AI/ML Analytics Enablement
 * Enterprise Data Modernization Programs
 * Global Delivery Management

Leadership Expectations

 * Build and lead high-performing Data & Analytics teams.
 * Drive stakeholder alignment across business and technology groups.
 * Manage large-scale transformation programs.
 * Provide architectural governance and technical direction.
 * Influence executive-level decisions through analytics and insights.