Job Description:
* The Enterprise Architect will lead the design and implementation of enterprise data platforms using Microsoft Fabric.
* This role is responsible for defining data architecture standards, enabling scalable analytics platforms, and driving enterprise data strategy aligned with business needs.
Responsibilities:
Architecture And Solution Design:
* Architect and implement enterprise data platforms using Microsoft Fabric, including Lakehouse, Data Warehouse, Real-Time Analytics, and Data Science workloads.
* Define and maintain technical architecture standards across ingestion, transformation, storage, and consumption layers.
* Design scalable medallion architecture using Fabric Lakehouse and Delta Lake.
* Develop data governance, lineage, catalog, and data quality frameworks using Microsoft Purview and Fabric governance capabilities.
* Create reusable frameworks, templates, and accelerators for data engineering teams.
Data Engineering And Development:
* Lead development of robust data pipelines using Data Factory, Synapse Data Engineering, Notebooks, and Spark within Microsoft Fabric.
* Implement ETL and ELT pipelines from SaaS platforms, databases, APIs, and real-time streaming sources.
* Optimize data models for analytics workloads using Power BI Direct Lake, Lakehouse shortcuts, and Warehouse modeling.
* Apply performance tuning across compute, storage, queries, and data pipelines.
Strategy And Leadership:
* Define enterprise data strategy aligned with business and analytics objectives.
* Lead technical reviews, design workshops, and architecture governance forums.
* Mentor data engineers, analysts, and business users on Microsoft Fabric best practices.
* Evaluate new Microsoft Fabric capabilities and recommend enterprise adoption strategies.
Security And Compliance:
* Ensure security and access controls across workspaces, domains, OneLake, and data warehouses.
* Implement data privacy, retention, lineage, and compliance architectures.
* Collaborate with cloud security and infrastructure teams to ensure secure deployments.
Requirement/Must Have:
* Strong expertise in Microsoft Fabric including OneLake, Lakehouse, Data Factory pipelines, Synapse Data Engineering, Data Warehousing, and Real-Time Analytics.
* Hands‑on experience with Power BI Direct Lake and semantic modeling.
* Proficiency in Python, SQL, PySpark, and Apache Spark.
* Strong understanding of Delta Lake and ACID Lakehouse principles.
* Experience designing modern data architectures including Lakehouse, Medallion, and Data Mesh.
* Solid knowledge of data governance, metadata management, and cloud architecture with preference for Azure.
Experience:
* 8–12+ years of experience in data engineering.
* 3+ years of experience in data architecture roles.
* Experience supporting enterprise‑scale analytics and data platforms.
Skills:
* Microsoft Fabric architecture and implementation.
* Data engineering and pipeline development.
* Cloud‑native analytics platforms.
* Data governance and security.
* Performance tuning and optimization.
Should Have:
* Microsoft Fabric certifications or Azure Data Engineering certifications.
* Experience migrating legacy analytics platforms such as SSIS, SSAS, ADF, or Synapse to Microsoft Fabric.
* Exposure to multi‑region cloud environments and enterprise‑scale data platforms.
* Experience leading architecture review boards or technical design authority groups.
Qualification And Education:
* Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent work experience.
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