Cloud Data Architect

Job Summary:

We are seeking a highly experienced and driven Cloud Data Architect to architect and lead the development of an enterprise-grade data
platform using Microsoft Fabric. This role involves overseeing the full data
lifecycle — from ingestion and transformation to analytics, governance, and
deployment — by integrating Azure-native technologies such as Data Factory,
Synapse Pipelines, Delta Lake, Spark, and Power BI within the Microsoft Fabric
ecosystem.

Key Responsibilities:

• Design
  and implement scalable, secure, and modular Lakehouse architectures in
  OneLake using Delta Lake and Fabric-native services.
  
• Architect
  medallion-layered data models (Bronze, Silver, Gold) that support batch
  and real-time analytics.
  
• Support
  data modeling for analytics, including star/snowflake schemas and semantic
  models for Power BI.
  
• Design
  and build robust data pipelines using Azure Data Factory, Synapse
  Pipelines, and Spark Notebooks (via Synapse or Fabric).
  
• Implement
  complex ETL/ELT logic, including joins, aggregations, SCDs, window
  functions, and schema evolution.
  
• Integrate
  a broad range of data sources — structured, semi-structured, and
  unstructured — from SQL, REST APIs, Event Hubs, Blob Storage, SharePoint,
  and more.
  
• Enable
  real-time streaming and event-driven processing with Azure Event Hubs,
  Kafka, or IoT Hub.
  
• Establish
  automated data quality checks, validation rules, and anomaly detection
  using Azure Data Quality, custom Python scripts, or Data Activator.
  
• Implement
  robust data lineage tracking, auditing, and error-handling mechanisms
  across the pipeline lifecycle.
  
• Enforce
  enterprise data governance using Microsoft Purview, including metadata
  management, data masking, RBAC, Managed Identities, and Key Vault
  integration.
  
• Enable
  low-latency BI through DirectLake mode and semantic models in Power BI.
  
• Develop
  KQL-based Real-Time Analytics solutions within Fabric for instant insights
  and monitoring.
  
• Establish
  data security architecture including RBAC, data masking, encryption, and
  integration with Key Vault and Entra ID (Azure AD).
  
• Set
  up CI/CD pipelines using Azure DevOps, GitHub Actions, and
  infrastructure-as-code tools like ARM, Bicep, or Terraform for deploying
  data infrastructure and Fabric artifacts.
  
• Promote
  version control, environment promotion, and release management strategies
  in Fabric Workspaces.
  
• Collaborate
  closely with BI developers and application teams to support integrated and
  analytics-ready data delivery.
  
• Define
  and maintain enterprise-wide data architecture standards, principles, and
  best practices.
  
• Mentor
  junior engineers, lead code reviews, establish engineering best practices,
  and maintain high standards of documentation and automation.
  

Qualifications:

• 10+
  years of experience in data engineering, with at least 2+ years in
  technical lead or architect roles.
  
• Proven
  expertise in Azure Data Factory, Synapse Analytics, Delta Lake, Azure Data
  Lake, and Power BI.
  
• Strong
  proficiency in Python, Spark, and SQL.
  
• Deep
  experience with data integration (REST APIs, SharePoint, Blob),
  event-driven pipelines (Event Hubs, Kafka), and streaming ingestion.
  
• Hands-on
  experience with data quality frameworks, data validation logic, and
  automated anomaly detection.
  
• Knowledge
  of Fabric Workspace lifecycle management, including CI/CD deployment
  strategies.
  
• Strong
  grasp of data warehousing, datalakehouse patterns, and governance
  frameworks (Purview, RBAC, data masking).
  
• Familiarity
  with real-time analytics using KQL and Data Activator within Fabric.
  
• Excellent
  leadership, communication, and cross-functional collaboration skills.
  

Good to Have:

• Microsoft
  certifications such as:
  
• Azure
  Solutions Architect
  
• Azure
  Data Engineer Associate
  
• Microsoft
  Fabric certifications
  
• Industry-specific
  experience in finance, healthcare, manufacturing, or retail.