GCP Senior Data Lead

Job 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. Key Responsibilities 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. Skill Requirements 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 Skill Evaluation Matrix Skill Area Mandatory Expected Proficiency (0–5) Data Pipeline Architecture Yes 5 GCP Services (Dataflow, Big Query, Pub/Sub etc.) Yes 5 Data Integration Yes 4 Data Storage Optimization Yes 4 Data Quality & Security Yes 4 Programming (Python, SQL) Yes 4 Stakeholder Collaboration Yes 3 Monitoring & Troubleshooting Yes 3 Leadership & Mentoring Yes 3 ETL & Data Warehousing No 3 Big Data (Hadoop/Spark) No 3 DevOps No 2 Other Requirements Education & Experience 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 Apply now Information at a Glance Why HCLTech? At HCLTech, you'll supercharge your potential. You'll find your career. And you'll 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. Disclaimer Privacy Statement Terms of use Sitemap Raise a Grievance We use cookies on our site. Please read more about cookies policy here. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. 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