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Principal Data Architect

Posted 2 months ago
10+ years experience
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AI Summary

Lead enterprise-scale data architecture initiatives and define cloud data strategies. Design scalable cloud-native platforms and drive data governance and analytics initiatives across business domains.

Job Description – Principal Data Architect

Client Location: Bangalore

Work Mode: Remote

Employment Type: Full-Time

About the Opportunity

Our client is a rapidly growing analytics and digital transformation consulting organization helping global enterprises solve complex business challenges through data, cloud, AI/ML, and advanced analytics.

Role Overview

Lead enterprise-scale data architecture initiatives, define cloud data strategy, and deliver scalable analytics solutions across business domains.

Key Responsibilities

·        Define enterprise data architecture strategy and roadmap.

·        Design scalable cloud-native data platforms on GCP and Azure.

·        Develop conceptual, logical, and physical data models.

·        Drive Data Mesh, Data Fabric, governance, and analytics initiatives.

·        Mentor engineering and analytics teams.

·        Partner with stakeholders to translate business requirements into solutions.

·        Support AI/ML, advanced analytics, and modern data platform initiatives.

Required Skills

·        GCP: BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, Data Fusion

·        Microsoft Azure Data Platform Services

·        Data Modeling: Relational, Star, Snowflake, Data Vault

·        Data Mesh, Data Fabric, Data Products

·        Data Governance, Metadata Management, Data Quality

·        Python, SQL, Spark, Bash

·        Terraform, GitHub Actions, Cloud Build, CI/CD

·        AI/GenAI, Vertex AI

·        Kafka, Event-Driven Architecture

·        Cloud Security: IAM, VPC, VPN, GKE

Preferred Qualifications

Bachelor’s/Master’s degree in Computer Science, Engineering, or related discipline. Cloud certifications on GCP/Azure are preferred.

Why Join?

·        100% Remote Work

·        Work on global enterprise transformation programs

·        Lead cloud, analytics, and AI initiatives

·        High visibility and leadership exposure



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