Data Architect

2 days ago

Cochin, Kerala, India Qode Full time ₹ 15,00,000 - ₹ 20,00,000 per year

Introduction

We are looking for candidates with 10 +years of experience in data architect role.

Responsibilities include:


• Design and implement scalable, secure, and cost-effective data architectures using GCP.


• Lead the design and development of data pipelines with BigQuery, Dataflow, and Cloud Storage.


• Architect and implement data lakes, data warehouses, and real-time data processing solutions on GCP.


• Ensure data architecture aligns with business goals, governance, and compliance requirements.


• Collaborate with stakeholders to define data strategy and roadmap.


• Design and deploy BigQuery solutions for optimized performance and cost efficiency.


• Build and maintain ETL/ELT pipelines for large-scale data processing.


• Leverage Cloud Pub/Sub, Dataflow, and Cloud Functions for real-time data integration.


• Implement best practices for data security, privacy, and compliance in cloud environments.


• Integrate machine learning workflows with data pipelines and analytics tools.


• Define data governance frameworks and manage data lineage.


• Lead data modeling efforts to ensure consistency, accuracy, and performance across systems.


• Optimize cloud infrastructure for scalability, performance, and reliability.


• Mentor junior team members and ensure adherence to architectural standards.


• Collaborate with DevOps teams to implement Infrastructure as Code (Terraform, Cloud Deployment

Manager).


• Ensure high availability and disaster recovery solutions are built into data systems.


• Conduct technical reviews, audits, and performance tuning for data solutions.


• Design solutions for multi-region and multi-cloud data architecture.


• Stay updated on emerging technologies and trends in data engineering and GCP.


• Drive innovation in data architecture, recommending new tools and services on GCP.

Certifications :


• Google Cloud Certification is Preferred.

Primary Skills :


• 7+ years of experience in data architecture, with at least 3 years in GCP environments.


• Expertise in BigQuery, Cloud Dataflow, Cloud Pub/Sub, Cloud Storage, and related GCP services.


• Strong experience in data warehousing, data lakes, and real-time data pipelines.


• Proficiency in SQL, Python, or other data processing languages.


• Experience with cloud security, data governance, and compliance frameworks.


• Strong problem-solving skills and ability to architect solutions for complex data environments.


• Google Cloud Certification (Professional Data Engineer, Professional Cloud Architect) preferred.


• Leadership experience and ability to mentor technical teams.


• Excellent communication and collaboration skills.

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