GCP Tech lead

Saama; Chennai District; On-site; INR 2,800,000 - 5,200,000; Full time

Job summary

Saama in India seeks a Senior Data Engineer with a distinguished background in Google Cloud Platform (GCP) to lead the evolution of our enterprise data ecosystem. With 5–8 years of experience, the successful candidate will design and deploy sophisticated data architectures that bridge raw data and strategic business intelligence, focusing on integrity, scalability, and cost-efficiency.

You will drive architectural strategy, implement end-to-end data solutions using BigQuery, Dataflow, Dataform,

Responsibilities

• Architectural Strategy & System Design
• End-to-end data architectures using GCP Modern Data Stack (BigQuery, Dataflow, Dataform)
• Scalable data models (Star, Snowflake, Data Vault) for multi-petabyte analytics
• Hybrid & Multi-Cloud data integration (GCP, on-prem, SaaS)
• Distributed processing with Apache Beam (Dataflow) and Cloud Composer (Airflow)
• Reusable Python libraries for ingestion, logging & error handling
• Infrastructure as Code with Terraform for cloud resources
• BigQuery performance tuning (partitioning, clustering, slot management) & security/compliance design
• Observability with monitoring and SLO alignment
• Mentorship and cross-team collaboration to translate goals into roadmaps

Skills

Distributed computing

Python development

SQL optimization

GCP

Tools

Apache Beam

Dataflow

Cloud Composer

Terraform

BigQuery

Dataform

Job description

Description

Summary

We are seeking a Senior Data Engineer with a distinguished background in Google Cloud Platform (GCP) to spearhead the evolution of our enterprise data ecosystem. With 5–8 years of professional experience, the successful candidate will operate as a technical authority, designing and deploying sophisticated data architectures that bridge the gap between complex raw data and strategic business intelligence. This role demands a mastery of distributed computing, advanced Python development, and expert-level SQL optimization to ensure the integrity, scalability, and cost-efficiency of our global data assets.

Core Responsibilities

• Architectural Strategy & System Design
• Enterprise Framework Design: Conceptualize and implement end-to-end data architectures utilizing GCP’s Modern Data Stack (BigQuery, Dataflow, Dataform).
• Scalable Data Modeling: Lead the development of high-performance data models (Star, Snowflake, Data Vault) optimized for multi-petabyte scale and high-concurrency analytics.
• Hybrid & Multi-Cloud Strategy: Provide technical leadership on data integration strategies spanning GCP, on-premise systems, and third-party SaaS environments.

Advanced Engineering & Pipeline Automation

• Distributed Processing: Engineer highly resilient, low-latency streaming and batch pipelines using Apache Beam (Dataflow) and Cloud Composer (Airflow).
• Software Engineering Excellence: Develop reusable Python libraries and frameworks to standardize data ingestion, logging, and error-handling across the engineering team.
• Infrastructure as Code (IaC): Drive operational maturity by managing cloud resources exclusively through Terraform, ensuring robust versioning and environment parity.

Data Governance, Security & Performance

• System Optimization: Conduct deep-dive performance tuning of BigQuery environments, implementing partitioning, clustering, and slot management to optimize ROI.
• Security & Compliance: Architect data security protocols including VPC Service Controls, IAM Least Privilege, and data masking/encryption to meet global compliance standards (GDPR, SOC2).
• Observability: Establish comprehensive monitoring and alerting frameworks for data health, ensuring high availability and meeting stringent Service Level Objectives (SLOs).

Technical Leadership & Collaboration

• Strategic Mentorship: Serve as a mentor to mid-level and junior engineers, conducting rigorous code reviews and promoting best practices in DataOps.
• Stakeholder Alignment: Act as a primary technical liaison between Data Science, Business Intelligence, and Executive leadership to translate business goals into technical roadmaps.