Description

We are looking for an experienced Data Platform Architect to design and manage enterprise-grade data solutions. This role focuses on building and optimizing modern data platforms using Google Cloud Platform (GCP), Databricks, Looker, and Dataform, ensuring scalability, security, and high performance across data-driven applications.
 

Key Responsibilities
Data Architecture & Strategy
Design and implement modern, scalable data platform architectures
Ensure seamless integration of Dataform, Looker, Databricks, and GCP services
Cloud Data Platform
Architect solutions using BigQuery, Dataflow, Cloud Storage, Pub/Sub
Optimize data pipelines for performance and cost efficiency
Analytics & BI
Develop semantic models and dashboards in Looker
Enable self-service analytics with strong governance
Data Engineering
Build and maintain data workflows using Dataform and Databricks
Apply best practices for data ingestion, transformation, and orchestration
DevOps for Data
Establish CI/CD pipelines for data workflows
Automate deployments, monitoring, and alerting
Governance & Security
Define and enforce data governance, security, and compliance standards
 

Required Skills & Experience
Strong experience with GCP Data Platform
Hands-on expertise with Databricks, Dataform, SQL
Advanced knowledge of Looker
Programming: Python, SQL, Spark
DevOps: CI/CD tools, Terraform (IaC)
Proven ability to design end-to-end enterprise data architectures
 

Preferred Qualifications
Google Professional Data Engineer or Cloud Architect certification
Databricks Certified Data Engineer
Experience with modern data governance frameworks
Exposure to AI/ML and advanced analytics
 

Soft Skills
Strong communication and collaboration skills
Ability to work in an Agile environment
Thought leadership in modern data architecture principles

Key Skills

Education

Any Graduate