Lead Data Engineer – GCP

We are looking for a highly experienced Senior / Lead Data Engineer with deep expertise in Google Cloud Platform (GCP) to lead the design, development, and optimization of large-scale, cloud-native data platforms. The role requires strong hands-on capabilities along with technical leadership, architectural decision-making, and mentoring responsibilities.

• Lead end-to-end design and implementation of scalable data architectures on GCP.
• Architect, develop, and optimize data pipelines using Dataflow, Dataproc, and Big Query
  .
• Design and manage high-performance data storage solutions using Bigtable and Cloud Datastore
  .
• Own and optimize complex SQL queries and Python-based data processing frameworks.
• Establish best practices for data modeling, ETL/ELT frameworks, and pipeline orchestration
  .
• Drive Dev Ops and CI/CD strategies for data platforms using GCP-native tools.
• Ensure platform reliability, data quality, security, and cost optimization.
• Act as a technical advisor to stakeholders, translating business requirements into scalable data solutions.
• Mentor and guide junior and mid-level data engineers.
• Conduct design reviews, performance tuning, and production issue resolution.

• 10–15 years of overall experience in data engineering and analytics platforms.
• Strong hands-on expertise in SQL and Python
  .
• Extensive experience with Google Cloud Platform
  , including:
• Big Query
• Dataflow (Apache Beam)
• Proven experience in GCP Dev Ops
  , including CI/CD pipelines, monitoring, logging, and automation.
• Strong understanding of distributed systems, data warehousing, and large-scale data processing.
• Experience designing and operating high-volume, high-availability data platforms
  .
• Hands-on experience with version control systems (Git).

• Experience with real-time/streaming architectures
  .
• Exposure to GKE, Docker, and Kubernetes
  .
• Knowledge of data governance, metadata management, and security best practices.
• GCP certifications (Professional Data Engineer / Cloud Architect).
• Experience working in regulated or large enterprise environments (BFSI a plus).

• Opportunity to lead and shape enterprise-scale data platforms.
• High-impact role with architectural ownership.
• Competitive compensation and leadership growth opportunities.
• Work with cutting-edge GCP technologies at scale.