Data Architect - GCP

Tredence Inc.; Bengaluru; On-site; INR 4,000,000 - 6,500,000; Full time

Job summary

Tredence Inc. is seeking an accomplished Data Architect to design enterprise-grade architectures on Google Cloud Platform, lead data strategy and governance, and guide teams across multiple data initiatives.

You will architect data lakes, data warehouses, and real-time platforms while driving migrations from on-prem and multi-cloud environments to GCP. The role requires deep knowledge of BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, and cloud security best practices, with strong SQL and

Qualifications

• 12-18 years of IT experience with significant data architecture expertise.
• Hands-on experience with GCP services including BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage.
• Experience with data modeling, ETL/ELT, data warehousing, and lakehouse architectures.
• Proficiency in SQL and Python/Java/Scala.
• Knowledge of data governance, data quality, and cloud security frameworks.

Responsibilities

• Design and implement enterprise-grade data architectures leveraging GCP services.
• Define and govern end-to-end data strategy, architecture standards, and best practices.
• Architect scalable data lakes, data warehouses, lakehouse solutions, and real-time data platforms.
• Lead cloud data transformation and migration initiatives from on-premises and multi-cloud environments to GCP.
• Design batch and streaming data pipelines using GCP-native technologies.
• Collaborate with business stakeholders, data engineers, analysts, and application teams to translate requirements into scalable solutions.
• Establish data governance, metadata management, MDM, and data quality frameworks.
• Ensure compliance with security, privacy, and regulatory requirements.
• Optimize platform performance, scalability, reliability, and cost efficiency.
• Mentor technical teams and provide architectural guidance across multiple projects.
• Conduct architecture reviews and recommend improvements aligned with business objectives.

Skills

Data Architecture

Leadership

Data modeling

ETL/ELT

SQL

Python/Java/Scala

Education

GCP Professional Data Engineer certification

Tools

BigQuery

Dataflow

Dataproc

Pub/Sub

Cloud Composer

Cloud Storage

Spark

Kafka

Airflow

Terraform

AI/ML data platforms

Job description

• Design and implement enterprise-grade data architectures leveraging GCP services.
• Define and govern end-to-end data strategy, architecture standards, and best practices.
• Architect scalable data lakes, data warehouses, lakehouse solutions, and real-time data platforms.
• Lead cloud data transformation and migration initiatives from on-premises and multi-cloud environments to GCP.
• Design batch and streaming data pipelines using GCP-native technologies.
• Collaborate with business stakeholders, data engineers, analysts, and application teams to understand requirements and translate them into scalable solutions.
• Establish data governance, metadata management, master data management (MDM), and data quality frameworks.
• Ensure compliance with security, privacy, and regulatory requirements.
• Optimize platform performance, scalability, reliability, and cost efficiency.
• Mentor technical teams and provide architectural guidance across multiple projects.
• Conduct architecture reviews and recommend improvements aligned with business objectives.

Required Skills:

• 12-18 years of IT experience with significant experience in Data Architecture.
• Strong hands-on expertise in BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, Cloud Storage, and related GCP services.
• Experience with data modeling, ETL/ELT, data warehousing, and lakehouse architectures.
• Proficiency in SQL and Python/Java/Scala.
• Knowledge of data governance, data quality, and cloud security frameworks.

Preferred:

• GCP Professional Data Engineer certification.
• Experience with Spark, Kafka, Airflow, Terraform, and AI/ML data platforms.

Note: We are currently seeking candidates who can join within 45 days.