Principal Data Architect

Posted Yesterday
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Bengaluru South, Bengaluru Urban, Karnataka, IND
In-Office
Entry level
HR Tech • Professional Services • Consulting
The Role
Lead enterprise data architecture strategy and roadmaps, design cloud-native platforms on GCP and Azure, develop data models, and drive Data Mesh, Data Fabric, governance, metadata, and data quality initiatives. Mentor engineering and analytics teams, translate business needs into scalable solutions, and support AI/ML and advanced analytics programs. The role also requires expertise in cloud security, event-driven architecture, infrastructure as code, and CI/CD.
Summary Generated by Built In
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



Skills Required

  • Experience defining enterprise data architecture strategies and roadmaps
  • Experience designing scalable cloud-native data platforms on GCP and Azure
  • Knowledge of conceptual, logical, and physical data modeling
  • Experience with relational, star, snowflake, and Data Vault data models
  • Experience with Data Mesh, Data Fabric, and data products
  • Knowledge of data governance, metadata management, and data quality
  • Proficiency in Python, SQL, Spark, and Bash
  • Experience with Terraform, GitHub Actions, Cloud Build, and CI/CD
  • Knowledge of AI/GenAI and Vertex AI
  • Experience with Kafka and event-driven architecture
  • Knowledge of cloud security, IAM, VPC, VPN, and GKE
  • Bachelor's or master's degree in Computer Science, Engineering, or a related discipline
  • GCP or Azure cloud certifications
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The Company
Year Founded: 2009

What We Do

nHRMS is a strategic human-resources partner providing end-to-end solutions for organizations in the United States and India. Its services span executive search and talent acquisition, performance management, HR advisory, organization strategy, HR technology, leadership development, labor-code compliance, workforce productivity, and learning. The firm supports clients across the employee lifecycle, combining people-first consulting with technology-enabled systems to help organizations scale.

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