GCP Senior Technical Specialist

HCL Technologies
Atlanta, GA, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours

Tech stack

Airflow Apache HTTP Server Application Frameworks BigQuery Cloud Computing Cloud Database Cloud Storage Computer Programming Continuous Integration Data Architecture Information Engineering Data Governance
+30 more
Data Infrastructure Extract Transform Load (ETL) Data Transformation Data Warehousing DevOps Distributed Computing Environment Data Flow Control Apache Hadoop Python (Programming Language) Machine Learning Metadata Performance Tuning Systems Development Life Cycle SQL Databases Workflow Management Systems Google Cloud Data Storage Technologies Snowflake Apache Spark Data Strategy Build Management Data Lakes Information Technology Google Bigquery Enterprise Integration Real Time Data Data Management Terraform Data Pipelines Apache Beam

Job description

We are looking for a highly experienced GCP Data Architect to lead the design and implementation of scalable, secure, and high-performance data platforms on Google Cloud. This role requires deep expertise in modern data architectures, strong hands-on capability, and the ability to drive enterprise-level data transformation initiatives., * Architect and implement end-to-end data platforms on Google Cloud Platform (GCP).

  • Design and build scalable batch and real-time data pipelines using:

o Big Query, Dataflow (Apache Beam), Pub/Sub

  • Define and optimize data storage & processing architectures using:

o Big Query, Cloud Storage, Cloud SQL, Fire store

  • Lead development of robust data models, data warehouses, and data lakes.
  • Establish data governance, quality, security, and compliance frameworks.
  • Collaborate with business stakeholders, data scientists, and engineering teams to translate requirements into scalable solutions.
  • Drive performance optimization, cost efficiency, and reliability across data platforms.
  • Provide technical leadership, conduct design reviews, and mentor engineering teams.
  • Define and enforce best practices, standards, and reusable frameworks.
  • Evaluate and adopt emerging GCP services and modern data architecture patterns., * GCP Services:
  • Big Query (Advanced level)
  • Dataflow (Apache Beam)
  • Pub/Sub
  • Cloud Storage
  • Cloud SQL / Fire store
  • Data Engineering & Architecture:
  • ETL/ELT pipeline design (batch & streaming)
  • Data Warehousing & Data Modeling (Star, Snowflake)
  • Distributed data processing
  • Real-time data architecture
  • Programming:
  • Python, SQL (mandatory)
  • Architecture Expertise:
  • End-to-end data platform design
  • Data governance & security models
  • Metadata, lineage, and cataloging

Preferred Skills

  • GCP Certifications:
  • Professional Data Engineer / Cloud Architect
  • Experience with:
  • Apache Spark / Hadoop ecosystem
  • Machine Learning & AI pipeline integration
  • Exposure to:
  • CI/CD, DevOps practices, Terraform
  • Workflow orchestration (Airflow / Cloud Composer)

Requirements

GCP (Good Clinical Practices), GCP (Good Clinical Practices), Cloud Computing, DataArchitect Data Modeling Tool, Vehicle Driving, Data Management, Scalable System Development, Apache, Data Modeling, Data Warehousing, * Bachelor’s/master’s degree in computer science, IT, or related field

  • 10+ years of experience in Data Engineering / Data Architecture
  • Strong hands-on expertise in GCP ecosystem, * Strong ownership and accountability
  • Excellent problem-solving and analytical thinking
  • Stakeholder management and executive communication
  • Ability to lead teams and drive decisions
  • Process-oriented with focus on scalability and governance

Role Expectations

  • Act as solution owner for data architecture decisions
  • Drive best practices adaption across teams
  • Ensure alignment with enterprise data strategy
  • Enable faster and reliable data-driven decision-making

1.Relevant certifications in Google BigQuery, SQL, Python, Google Dataflow, or CA Erwin Data Modeler would be a plus.

About the company

Information at a Glance

Why HCLTech?

At HCLTech, youll supercharge your potential. Youll find your career. And youll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion.

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