Enterprise Data Expert

9 hours ago

Lucknow, Uttar Pradesh, India beBeeDataArchitect Full time ₹ 25,00,000 - ₹ 35,00,000
Data Architect Role

This is a hands-on Data Architect position that involves owning the end-to-end data architecture strategy, designing and developing scalable and secure enterprise data architectures, creating and maintaining conceptual, logical, and physical data models, deploying and managing data solutions using cloud-native tools, implementing data security frameworks, and introducing and overseeing metadata management, MDM, and data lineage tracking.

Key Responsibilities:

  • Design and build scalable and secure enterprise data architectures, including data lakes, warehouses, and real-time streaming solutions.
  • Develop, optimize, and maintain data pipelines for structured and unstructured data across multiple systems.
  • Create and maintain conceptual, logical, and physical data models to ensure consistency, reuse, and governance.
  • Optimize database performance and implement partitioning, indexing, and query tuning strategies.
  • Deploy and manage data solutions using cloud-native tools.
  • Implement data security frameworks, including encryption, access control, GDPR, and HIPAA compliance.
  • Introduce and oversee metadata management, MDM, and data lineage tracking using industry-standard tools.

Leadership & Strategic Responsibilities:

  • Serve as the data architecture authority, defining standards, frameworks, and best practices.
  • Lead and mentor Data Engineers, BI Developers, and Analysts in architecture principles and implementation.
  • Partner with Product, Engineering, and Business teams to translate requirements into data-driven solutions.
  • Drive adoption of data governance and data quality frameworks across the organization.
  • Provide technical leadership in solution design reviews, architecture boards, and strategic planning sessions.
  • Evaluate vendor tools and make recommendations for long-term scalability and cost optimization.

Requirements:

  • Strong expertise in SQL, Python, or Scala for data processing and transformations.
  • Proven experience with ETL/ELT frameworks.
  • Hands-on experience with cloud data platforms.
  • Knowledge of real-time data streaming.
  • Strong foundation in data modeling.
  • Familiarity with DevOps for data.
  • Knowledge of big data frameworks.
  • Understanding of data security, governance, and compliance frameworks.
  • Strong communication skills.

Qualifications:

  • Bachelor's/Master's degree in Computer Science, Data Engineering, or related field.
  • 8+ years of experience in data engineering/architecture roles with at least 3+ years as a Data Architect.
  • Proven expertise in designing and implementing enterprise-scale, cloud-based data ecosystems.
  • Relevant certifications preferred.

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