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# GCP Senior Data Lead

- **Company:** HCL Technologies
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Query Performance, Application Frameworks, Big Data, BigQuery, Cloud Computing, Cloud Storage, Computer Programming, Data Architecture, Data Validation, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Dataspaces, Data Systems, Data Warehousing, DevOps, Data Flow Control, Apache Hadoop, Python (Programming Language), Machine Learning, Performance Tuning, Systems Development Life Cycle, DataOps, Requirements Management, Software Engineering, SQL Databases, Technical Data Management Systems, Data Logging, Google Cloud, Data Ingestion, System Availability, Apache Spark, Information Technology, Data Management, Data Pipelines, Automation Anywhere
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/gcp-senior-data-lead-chicago-il--d20c29a2-2348-4130-a0c9-fff1c7b6e5b6

## About the Role

GCP (Good Clinical Practices), GCP (Good Clinical Practices), Ecosystems, Cloud Computing, Data Management, Software Engineering, Scalable System Development, Cross-Functional, Data Science, Requirements Management, Core Technical Skills (Must Have)

 * Strong hands-on experience with:
 * Dataflow, Big Query, Pub/Sub
 * Cloud Storage, Cloud SQL, Fire store
 * Expertise in:
 * ETL/ELT processes
 * Data warehousing & data modeling
 * Strong programming skills:
 * Python, SQL

Key Competencies

 * Strong analytical and problem-solving skills
 * Attention to detail and commitment to data accuracy
 * Ability to work independently and in cross-functional teams
 * Excellent communication and stakeholder management skills

Preferred (Good-to-Have) Skills

 * GCP Certifications (Professional Data Engineer / Cloud Architect)
 * Experience with Big Data technologies (Hadoop, Spark)
 * Exposure to Machine Learning / AI workflows
 * Familiarity with DevOps practices & CI/CD pipelines

Skill Evaluation Matrix, * Bachelor's or master's degree in computer science, IT, or related field

 * 8+ years of experience in data engineering, with strong exposure to GCP

## Description

We are looking for a Senior Data Engineer with deep expertise in Google Cloud Platform (GCP) to design, build, and optimize scalable data ecosystems. This role is critical in enabling data-driven decision-making by developing high-performance data pipelines, ensuring data reliability, and supporting enterprise-wide analytics initiatives.

You will work closely with cross-functional stakeholders including data scientists, analysts, and business teams to translate business requirements into robust data solutions., Data Engineering & Architecture

 * Design, build, and maintain scalable and high-performance data pipelines on GCP.
 * Develop and manage modern data architectures to support batch and real-time processing needs.
 * Implement reusable frameworks to standardize data ingestion and transformation processes.

GCP-Based Data Integration

 * Leverage GCP services such as:
 * Dataflow
 * Big Query
 * Pub/Sub
 * Cloud Storage
 * Cloud SQL / Fire store
 * Build and optimize data integration workflows ensuring efficiency and scalability.

Data Management & Optimization

 * Optimize storage and query performance across GCP data platforms.
 * Ensure cost optimization, performance tuning, and scalable data design.

Quality, Governance & Security

 * Implement robust data quality checks, validation frameworks, and monitoring mechanisms.
 * Ensure adherence to data governance, security, and compliance standards.

Collaboration & Stakeholder Management

 * Partner with data scientists, analysts, and business stakeholders to understand requirements and deliver actionable insights.
 * Translate business problems into technical data solutions.

Operations & Reliability

 * Monitor, troubleshoot, and ensure high availability and performance of data pipelines.
 * Implement logging, alerting, and observability frameworks.

Leadership & Mentoring

 * Provide technical leadership and mentorship to junior engineers.
 * Drive best practices in coding, architecture, and deployment.

Continuous Improvement

 * Stay updated with the latest GCP innovations and data engineering best practices.
 * Proactively recommend improvements to enhance system performance and scalability.