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Joinner​/Data Architect; GCP

Job in Bengaluru, 560001, Bangalore, Karnataka, India
Listing for: RecSphere
Full Time position
Listed on 2026-03-07
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing
Job Description & How to Apply Below
Position: Immediate joinner/ Data Architect (GCP)
Location: Bengaluru

Job Role     Data Architect
Experience     10+ years
Notice period     Immediate to 15 days
Location     Trivandrum/Bangalore/Chennai/Kochi
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 Big Query, 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 Big Query 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 Dev Ops 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 Big Query, 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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