Senior Enterprise Data Strategist

3 days ago

Dombivli, Maharashtra, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Overview:

We are seeking a visionary Data Architect to spearhead the development and implementation of our enterprise data architecture strategy.

This role demands strong technical expertise in data modeling, databases, cloud platforms, and integration frameworks, combined with excellent leadership and collaboration skills.

Key Responsibilities:
  • Design and build scalable and secure enterprise data architecture, including data lakes, warehouses, and real-time streaming solutions.
  • Develop, optimize, and maintain data pipelines (ETL/ELT) 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 (SQL/NoSQL) 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.
  • Stay current with emerging technologies and innovations.
  • 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.

Required Skills & Qualifications:
  • 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 with the ability to influence and guide technical and business teams.

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.
  • Relevant certifications preferred.

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