Data Architect

About CloudLabs:

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: [Confidential Information]

What we offer:

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

Job Type: Fulltime

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:

• Enterprise Data Architecture
• 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
• Data Pipelines
• Orchestration Solutions
• Data Quality Frameworks
• Governance & Security
• Define enterprise governance standards.
• 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
• Established data governance standards
• Led cloud migration initiatives
• Designed CDC and real-time architectures
• Delivered large-scale reporting and analytics platforms
• Worked directly with business stakeholders and leadership
• Mentored Data Engineers, Data Modelers, and Solution Architects

Must-Have:

• 8+ years of overall experience with at least 3+ years in a Data Architect role
• Strong hands-on Data Modeling expertise
• Experience architecting Data Lake, Lakehouse, and Data Warehouse solutions
• Proven experience in Snowflake and/or Databricks architecture
• Expertise in enterprise-scale data governance
• 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