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# GCP Senior Technical Specialist

- **Company:** HCL America, Inc.
- **Location:** United States
- **Experience:** Expert
- **Salary:** $127,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Word, Agile Methodology, Airflow, Applications Architecture, BigQuery, Cloud Computing, Cloud Database, Cloud Engineering, Cloud Storage, Data Validation, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Migration, Data Systems, DevOps, Disaster Recovery, Data Flow Control, Identity and Access Management, Python (Programming Language), Metadata, Microsoft SQL Server, Oracle (Applications), Performance Tuning, Cloud Services, User Defined Functions, SQL Stored Procedures, SQL Databases, Teradata SQL, Google Cloud, Cloud Platform System, Data Ingestion, Netezza, System Availability, Snowflake, Information Technology, Data Management, Terraform, Data Pipelines, Apache Beam
- **Published:** October 25, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=92af3bf83e92836a

## About the Role

* Strong hands-on experience in Google Cloud Platform (GCP) with expertise in BigQuery, Dataflow, Cloud Composer, and GCS.
 * Deep expertise in Google Cloud Platform (GCP) services and architecture.
 * Proficient in Python programming for data engineering (Dataflow pipelines, validation scripts, automation).
 * Expertise in BigQuery SQL, Stored Procedures, Views, and User Defined Functions (UDFs).
 * Experience with data migration from on-premise or cloud data warehouses (preferably Snowflake, Teradata, Netezza, Oracle, SQL Server) to BigQuery.
 * Strong understanding of ETL/ELT frameworks, data modeling, and schema design (Star/Snowflake).
 * Familiarity with data governance, metadata, and lineage frameworks on GCP.
 * Knowledge of data validation and testing techniques, including reconciliation, rule-based checks, and automation.
 * Hands-on experience in workflow orchestration using Cloud Composer (Airflow) with custom operators.
 * Strong SQL tuning and BigQuery performance optimization skills.
 * Good communication and collaboration skills to work with cross-functional teams in Agile environments.
 * Proven ability to troubleshoot, optimize, and enhance complex data workflows at scale.

Must Have Skill

Erwin Data Modeler,GCP BigQuery,GCP Dataflow,MS SQL,Python

## Description

We are seeking a highly experienced GCP Architect with 10+ years of IT experience to design, implement, and oversee scalable, secure, and high-performance cloud solutions on Google Cloud Platform (GCP). The role involves defining cloud architecture, governance, and driving large-scale digital transformation initiatives. The Architect will be responsible for designing, developing, and maintaining scalable data pipelines and solutions on Google Cloud Platform (GCP). The role focuses on data ingestion, transformation, orchestration, and governance across enterprise data systems. The Architect will work closely with the team, and business stakeholders to implement high-quality, performance-optimized data solutions in BigQuery and related GCP services., * Architecture & Solution Design
*

 + Design end-to-end cloud architecture on GCP aligned with business objectives
 + Lead architecture reviews and define best practices for cloud adoption
 + Build scalable, highly available, and cost-effective solutions
 * Cloud Platform Management & Governance
*

 + Define governance models, security standards, and compliance frameworks
 + Ensure adherence to IAM, networking, and security best practices
 + Implement enterprise-level cloud operating models [eInvoice C...SME Roles | Word]
 * Data & Application Architecture
*

 + Architect data platforms using services such as BigQuery, Cloud Storage, and Dataflow
 + Design modern data pipelines and integration patterns
 + Drive migration strategies (e.g., on-prem / Snowflake to GCP)
 * Performance, Security & Optimization
*

 + Identify and remediate performance bottlenecks and security vulnerabilities
 + Conduct architecture reviews for system improvements and risk mitigation
 + Optimize cloud costs and performance
 * DevOps & Automation
*

 + Define and implement Infrastructure as Code (Terraform, etc.)
 + Enable CI/CD pipelines for cloud-native deployments
 + Drive platform engineering and automation strategies
 * Leadership & Stakeholder Management
*

 + Act as SME for cloud architecture and guide engineering teams
 + Collaborate with business stakeholders, delivery teams, and leadership
 + Mentor engineers, and DevOps teams
 * Cloud Operations & Reliability
*

 + Ensure high availability, disaster recovery, and monitoring frameworks
 + Oversee incident management and cloud operations excellence