GCP Data Architect

Aviato Consulting Pty Ltd; India; On-site; INR 2,800,000 - 5,800,000; Full time

Benefits offered by this job

ESOP

Job summary

Aviato Consulting Pty Ltd in India seeks a Data Architect to bridge hands-on data engineering with platform architecture on Google Cloud. You will design scalable lakehouse architectures and enterprise data platforms, emphasizing security and cost efficiency.

Responsibilities include building resilient ETL/ELT pipelines, enabling real-time analytics, and establishing reusable Airflow-based workflows. A strong Python/SQL/Java and GCP stack background is essential.

Qualifications

• 8+ years of hands-on data engineering and cloud architectural experience with Google Cloud.
• Proficiency in Python, SQL, Java, PySpark and Google Cloud data services.
• Google Cloud Professional Cloud Architect certification is required.
• Experience with FinOps, data governance, and data quality pipelines.

Responsibilities

• Lead end-to-end design of scalable data platforms and Lakehouse architectures on GCP.
• Architect data pipelines using Spark, Dataflow, Dataproc, Pub/Sub for real-time and batch analytics.
• Establish Airflow frameworks on Cloud Composer for orchestration and CI/CD.
• Integrate AI/LLM-enabled workflows with security controls.
• Drive governance, IAM, GDPR/HIPAA compliance, and cost optimization.

Skills

GCP Data Architecture

Python

SQL

Java

PySpark

BigQuery

Dataflow

Dataproc

Pub/Sub

Cloud Composer

GKE

Apache Iceberg

Google Cloud Architect Certification

FinOps

Education

Google Cloud Professional Cloud Architect certification

Tools

Apache Airflow

Cloud Composer

Job description

We are proud winners of the Best Place to Work awards in 2025 and 2026. Aviato Consulting, founded by ex-Googlers, specializes in Google Cloud solutions. We combine deep technical expertise with the open, fun engineering culture of Google minus the bureaucracy. We are hiring for Data Architect who will bridge deep hands-on data engineering with high-level platform architecture, optimizing modern Lakehouse infrastructure and cloud data pipelines.

What's in it for you?

Build the "Next" Tech: Work at the intersection of enterprise big data and cloud innovation, leveraging Google Cloud data services to build robust, AI-ready data foundations.

Elite Engineering Culture: Work alongside ex-Googlers and cloud experts who prioritize clean code, high-velocity shipping, and technical excellence over politics.

Pure GCP Playground: Gain deep access to Google Cloud's modern data and AI ecosystem (BigQuery, Dataflow, Dataproc, Cloud Composer, Vertex AI) to design scalable, lakehouse architectures.

Verified Happiness: Join a team objectively recognized as a "Best Place to Work" two years running.

ESOP: Share in our success with our employee option plan.

Role Description

Lakehouse & Platform Architecture: Lead the end-to-end design and realization of highly scalable enterprise data platforms and Lakehouse architectures (Apache Iceberg) across multi-domain ecosystems on Google Cloud Platform (GCP).

Data Engineering & Batch/Streaming Pipelines: Architect resilient, meta-data-driven ETL/ELT data pipelines using Apache Spark / PySpark, Advanced SQL, Dataflow (Apache Beam), Dataproc, and Pub/Sub to support real-time and batch analytics.

Orchestration & Automation: Establish reusable Apache Airflow frameworks on Cloud Composer to streamline workflow automation, CI/CD, and pipeline onboarding across production workloads.

AI & Security Integration: Architect secure LLM-powered platforms and AI-assisted workflows incorporating prompt-injection safeguards, secret detection, zero-egress controls, and ML-based anomaly detection for operational reliability.

Governance & FinOps Optimization: Drive data lifecycle management, IAM, GDPR/HIPAA compliance, and FinOps initiatives across BigQuery and Dataproc clusters to optimize compute performance and minimize costs.

What You'll Bring to the Table:

GCP Data Architecture Expertise: 8+ years of hands-on data engineering and cloud architectural experience designing and managing enterprise-scale Google Cloud data platforms.

Core Technical Stack: Advanced proficiency in Python, SQL, Java, PySpark/Spark SQL, BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, GKE, and Apache Iceberg.

Certification Requirement: A Google Cloud Professional Cloud Architect certification.

Governance & Optimization Mastery: Demonstrated track record in implementing FinOps cost optimizations, data governance frameworks, and data quality/anomaly detection pipelines.

Bonus Points:

Hands-on experience with LLM orchestration, prompt engineering, and GenAI security controls.

Experience migrating large-scale (50TB+) enterprise datasets and legacy analytical workloads (SQL Server, SAS) to GCP BigQuery.

Our Core Values:

We operate with radical transparency, believe in rigorous teamwork, prioritize continuous excellence and growth, and deliver exceptional value as dedicated client partners.