Data and Cloud Solutions Architect

The Senior Cloud Data Architect is a hands-on role responsible for designing, evolving, and optimizing the organization's cloud-based data architecture. This individual will shape the technical foundation for scalable, secure, and well-governed data systems that power analytics, AI, and enterprise intelligence.

As an individual contributor, the architect partners closely with data engineers, analysts, product teams, and cloud specialists to design end-to-end solutions-spanning ingestion, transformation, storage, metadata, and consumption. The ideal candidate brings deep technical expertise in data architecture, metadata design, and cloud-native data services, coupled with a keen ability to translate complex requirements into elegant, maintainable designs.

Senior Cloud Data Architect Role Summary

The Senior Cloud Data Architect is a hands-on individual contributor responsible for designing and optimizing Azure-based cloud data architectures supporting analytics, AI, and enterprise intelligence. The ideal candidate should have 7+ years of experience in data engineering/architecture , including 3+ years in cloud data architecture , with strong expertise in Azure Data Lake, Data Factory, Synapse, Databricks, Spark, Python, and SQL .

The role focuses heavily on data lakehouse/warehouse architecture, metadata management, data governance, lineage, schema design, and data modeling . Candidates should have experience with tools such as Unity Catalog, Microsoft Purview, Collibra, or DataHub , along with hands-on experience designing distributed data pipelines, optimizing performance and cost, and implementing CI/CD, observability, and schema evolution.

The candidate must also be strong in architecture documentation and visualization , including data-flow diagrams, logical/physical data models, system blueprints, and architecture decision documentation using tools such as Visio, Lucidchart, or Draw.io .

Must-Have Requirements

• Bachelor's degree in Computer Science strict requirement
• 7+ years in data engineering, data architecture, or enterprise analytics
• 3+ years of cloud data architecture
• Strong Azure experience
• Azure Data Lake, Data Factory, Synapse, Databricks
• Spark / distributed data processing
• Python + SQL
• Data modeling, schema design, and metadata management
• Data lineage and governance
• Architecture diagrams/documentation
• Hands-on data pipeline development and optimization