Chief Data Architect

7 days ago


Malappuram, Kerala, India beBeeData Full time ₹ 18,00,000 - ₹ 20,00,000
Job Opportunity

Seeking an experienced professional to join our data team as a Data Engineer. The ideal candidate will design, build, and optimize end-to-end data solutions using Microsoft's data platforms.

The selected individual will have the opportunity to work on cutting-edge Microsoft data projects, collaborate with global teams, and contribute to solutions that shape the future of data-driven business decisions.

Key Responsibilities:Data Engineering & Architecture
  • Design and implement data solutions using ADF, Microsoft Fabric, Synapse, Databricks.
  • Build data models for scalable data processing, endpoint processing, and integration.
  • Develop and optimize data pipelines (real-time, batch, and BYOD).
Data Modeling & Analytics
  • Create semantic models and dimensional models in Power BI.
  • Build enterprise dashboards, paginated reports, and self-service analytics solutions.
  • Implement row-level security, complex DAX measures, and model optimizations.
Platform Operations & Governance
  • Apply DataOps practices, monitoring, and performance tuning.
  • Ensure data security, quality, and governance.
  • Integrate predictive analytics with Azure ML where required.
Required Skills & Experience:
  • 5–7 years of data engineering experience (minimum 3 years in Microsoft technologies).
  • Strong expertise in Microsoft Fabric, Azure Synapse Analytics, Databricks, Power BI.
  • Proficiency in SQL, T-SQL, Spark SQL, Python/Scala, DAX, Power Query (M).
  • Experience with real-time streaming (Event Hubs/Kafka) and batch processing.
  • Proven track record in implementing medallion architecture and enterprise BI solutions.
Preferred Certifications:
  • Microsoft Certified: Azure Data Engineer Associate / Fabric Analytics Engineer Associate / Power BI Data Analyst Associate
  • Databricks Certified Data Engineer Associate
Qualifications:
  • Bachelor's degree in computer science, Data Science, Engineering or related field (master's preferred).
  • Strong problem-solving, communication, and client-facing skills.

We value innovation, collaboration, and continuous learning.



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