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Data Architect

2 weeks ago

Mumbai, Maharashtra, India Weekday AI Full time ₹ 15,00,000 - ₹ 20,00,000 per year
Job Description:

Requirements:About the RoleKey Responsibilities
  • Architect Scalable Data Solutions: Design and implement robust, secure, and scalable data architectures using Microsoft Azure, Databricks, and ADF for large-scale enterprise environments.
  • Data Engineering Leadership: Provide technical leadership and mentoring to data engineering teams on ETL/ELT best practices, data pipeline development, and optimization.
  • Cloud-Based Architecture: Build and optimize data lakes and data warehouses on Azure, leveraging Azure Data Lake, Synapse Analytics, and Azure SQL services.
  • Databricks Expertise: Use Azure Databricks for distributed data processing, real-time analytics, and machine learning data pipelines.
  • ETL Frameworks: Design and maintain ETL workflows using Azure Data Factory (ADF), ensuring efficient movement and transformation of data from multiple sources.
  • Visualization & Reporting: Collaborate with business stakeholders to deliver intuitive and insightful dashboards and reports using Power BI.
  • Data Governance & Quality: Enforce data quality standards, lineage, and governance across all data assets, ensuring compliance and accuracy.
  • Collaboration & Integration: Work with application developers and DevOps teams to integrate data systems with other enterprise applications.
  • Documentation & Standards: Maintain detailed architecture diagrams, data dictionaries, and standard operating procedures for all data systems.
Required Skills & Qualifications
  • 8 years of experience in data engineering, data architecture, or related fields.
  • Proven experience designing and implementing cloud-based data solutions using Microsoft Azure.
  • Hands-on expertise in Azure Databricks, ADF, Azure SQL, Data Lake Storage, and Power BI.
  • Strong proficiency in ETL/ELT development, pipeline orchestration, and performance optimization.
  • Solid understanding of data modeling, warehousing concepts (Kimball/Inmon), and big data technologies.
  • Proficiency in scripting languages such as Python, SQL, and Spark.
  • Experience in managing data security, compliance, and governance in large enterprises.
  • Strong problem-solving skills and a collaborative mindset.
Preferred Qualifications
  • Azure certifications such as Azure Data Engineer Associate or Azure Solutions Architect Expert.
  • Experience with CI/CD pipelines for data workloads.
  • Exposure to MDM (Master Data Management) and data catalog tools.

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