Data Architect

CloudLabs Inc

India

Remote

INR 4,000,000 - 7,000,000

Full time

17 hours ago
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Benefits offered by this job

Remote work available
Competitive pay package
Industry-leading training

Job summary

CloudLabs Inc in India is seeking a highly experienced Data Architect with strong data modeling and enterprise data strategy skills to lead architecture across cloud, analytics, AI, and reporting.

You will translate business goals into scalable data ecosystems, govern data standards, and drive modernization from on-premise to cloud, while collaborating with CXOs.

This remote-friendly role requires 8+ years of experience and a proven track record delivering data lakes, warehouses, and lakehouses.

Qualifications

  • 8+ years of overall experience with at least 3+ years in a Data Architect role.
  • Experience designing Data Lake, Lakehouse, and Data Warehouse solutions.
  • Proven experience with Snowflake and/or Databricks architecture.
  • Ability to engage CXO-level stakeholders and lead architecture decisions.

Responsibilities

  • Define and own the enterprise data architecture roadmap.
  • Design scalable data platforms for analytics, reporting, AI/ML.
  • Architect data pipelines across cloud and on-premise.
  • Establish data standards, governance, and security.
  • Lead architecture reviews and governance forums.

Skills

8+ years experience
Enterprise data architecture
Cloud-native data platforms
Stakeholder management
Data modeling
Data governance
Communication

Tools

Snowflake
Databricks

Job description

CloudLabs Inc was founded in 2014 with the mission to provide exceptional IT & Business consulting services at a competitive price, to help clients realize the best value from their investments.


Within a short span, CloudLabs evolved from pure-play consulting into a transformative partner for Business Acceleration Advisory, Transformative Application Development & Managed Services - enabling digital transformations, M&A transitions, Automation & Process-driven optimizations & complex Integration initiatives for enterprises across the globe. As a Strategic Planning & Implementation Partner for global companies, CloudLabs has seen a 200% uptake in winning high-value, high-impact and high-risk projects that are critical for the business.


With offices in the US, Canada, & India and with the team of 250+ experienced specialists, CloudLabs is now at an inflection point and ready for its next curve of progress.



Please write & follow us here:


Website:

cloudlabsit.com


LinkedIn:

CloudLabs Inc


Email us:

info@cloudlabsit.com



What we offer:


  • We welcome candidates rejoining the workforce after career break/parental leave and support their journey to reacclimatize too corporate.

  • Competitive pay package.

  • Attractive policy, medical insurance benefits, industry leading training.

  • Opportunity to work remotely is available



Department:

Data & Analytics


Experience:

8+ years


Location:

India - Remote



Role Overview

We are seeking a highly experienced Data Architect with strong Data Modeling expertise who has successfully delivered architecture solutions in enterprise-scale projects, not just performed design activities. The ideal candidate must have a proven track record of defining enterprise data strategies, designing scalable data platforms, implementing modern data architectures, governing data standards, and driving architecture decisions across multiple business and technology teams.


This role requires a hands-on architect capable of translating business goals into robust, scalable, secure, and future-ready data ecosystems spanning cloud, analytics, AI, reporting, and operational systems.



Key Responsibilities:


  • Define and own the overall enterprise data architecture roadmap.

  • Design scalable data solutions supporting analytics, reporting, operational workloads, AI/ML, and self-service data consumption.

  • Architect end-to-end data platforms across cloud and on-premise ecosystems.

  • Establish data architecture principles, standards, frameworks, and best practices.

  • Lead architecture reviews and governance forums.

  • Drive modernization initiatives from legacy platforms to cloud-based architectures.

  • Design enterprise-wide integration patterns and data movement strategies.



Data Modeling:


  • Create and maintain - Conceptual Data Models, Logical Data Models, Physical Data Models.

  • Design normalized and denormalized data models.

  • Architect Data Vault, Kimball, Star Schema, Snowflake Schema, and Third Normal Form models.

  • Design dimensions, facts, conformed dimensions, and semantic layers.

  • Build scalable models supporting enterprise reporting and analytics.

  • Define master data, reference data, and metadata structures.

  • Resolve complex data modeling challenges for large-scale datasets.



Provide architecture guidance for:


  • ETL/ELT Frameworks

  • Orchestration Solutions

  • Data Quality Frameworks

  • Governance & Security

  • Implement data lineage and metadata management strategies.

  • Architect data quality monitoring frameworks.

  • Establish security controls across platforms.



Candidates must have performed Data Architect responsibilities in real projects, including:


  • Defined enterprise data architecture

  • Conducted architecture review boards

  • Designed data lakes, warehouses, and lakehouses

  • Created conceptual, logical, and physical data models

  • Led cloud migration initiatives

  • Designed CDC and real-time architectures

  • Delivered large-scale reporting and analytics platforms

  • Worked directly with business stakeholders and leadershipMentored Data Engineers, Data Modelers, and Solution Architects



Must-Have:


  • 8+ years of overall experience with at least 3+ years in a Data Architect role

  • Experience architecting Data Lake, Lakehouse, and Data Warehouse solutions

  • Proven experience in Snowflake and/or Databricks architecture

  • Ability to work with CXO-level stakeholders

  • Experience leading architecture decisions, not just development activities

  • Strong understanding of modern cloud-native data platforms

  • Excellent communication and stakeholder management skills

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