GCP Tech Lead

Saama; Chennai District; On-site; INR 4,500,000 - 7,500,000; Full time

Job summary

Saama is seeking a Senior Data Engineer in Chennai to lead the evolution of the enterprise data ecosystem. The role focuses on GCP-based data architectures, advanced SQL optimization, and Python development, with multi-cloud considerations and strong governance.

You will design scalable data models and end-to-end pipelines, mentor engineers, and partner with Data Science and BI leaders to translate business goals into technical roadmaps.

Qualifications

• 5–8 years of professional experience in data engineering or related field.
• Hands-on experience designing and deploying data architectures in Google Cloud Platform.
• Strong SQL optimization, Python development, and scalable data modeling skills.
• Experience with multi-cloud or hybrid environments and data governance.

Responsibilities

• Design and deploy enterprise data architectures using GCP Modern Data Stack (BigQuery, Dataflow, Dataform).
• Lead end-to-end data modeling (Star, Snowflake, Data Vault) for multi-petabyte analytics.
• Build resilient streaming and batch pipelines with Apache Beam (Dataflow) and Cloud Composer (Airflow).
• Implement IaC using Terraform to manage cloud resources with versioning and parity.
• Mentor engineers and align data initiatives with Data Science, BI, and leadership.

Skills

Python

SQL

GCP

Data Modeling

Data Governance

Data Pipelines

Cloud Architecture

Tools

BigQuery

Dataflow

Dataform

Apache Beam

Terraform

Cloud Composer

Airflow

Job description

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.

Requirements

Requirements: