Senior Data Solutions Architect

2 weeks ago

Hyderabad, Telangana, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Job Overview:

We are seeking a seasoned data expert to spearhead the development, implementation, and optimization of large-scale data architectures and solutions on the Microsoft Fabric platform.

Key Responsibilities:

  • Design and build enterprise-scale data solutions utilizing Microsoft Fabric components.
  • Establish data architecture standards, patterns, and best practices across Fabric components.
  • Lead the integration of diverse data sources into the Fabric ecosystem.
  • Develop and oversee advanced data transformation and enrichment processes using Dataflows Gen2, Notebooks, and Spark.
  • Collaborate with analytics, BI, and business stakeholders to define data strategy ensuring availability, accuracy, scalability, and performance.
  • Architect storage strategy on OneLake for security, performance, and cost optimization.
  • Define and review enterprise data models to support Power BI reporting and advanced analytics.
  • Establish governance, compliance, security, and privacy standards within the Fabric data ecosystem.
  • Provide leadership in troubleshooting, performance optimization, and reliability improvements of mission-critical data platforms.
  • Guide and mentor engineering teams, driving technical excellence in an Agile delivery environment.

Required Skills & Qualifications:

  • 10+ years of experience in Data Architecture, Data Engineering, or related fields.
  • Expertise in Microsoft Fabric components: Data Factory, Dataflows Gen2, Lakehouse, Data Warehouse, and OneLake.
  • Advanced proficiency in SQL and Spark (PySpark/Scala).
  • Proven experience in architecting solutions integrating multiple structured and unstructured data sources.
  • Expertise in enterprise data modeling (star/snowflake schemas) and large-scale ETL/ELT architectures.
  • Hands-on experience with Power BI and DAX for enterprise-grade analytics integration.
  • Knowledge of Azure Data Services (Azure Data Lake, Synapse Analytics, Azure Databricks) is a strong plus.
  • Strong leadership, communication, and collaboration skills with the ability to drive data strategy at scale.

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