Chief Data Infrastructure Specialist

4 hours ago

Thrissur, Kerala, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Title: Chief Data Infrastructure Specialist

We are seeking a seasoned Chief Data Infrastructure Specialist to spearhead the development and implementation of our data ecosystem strategy.

  • Key Responsibilities:
  • Design, build, and maintain scalable and secure enterprise data architectures, encompassing data lakes, warehouses, and real-time streaming solutions.
  • Develop and optimize data pipelines (ETL/ELT) for structured and unstructured data across multiple systems, ensuring seamless integration and maximum efficiency.
  • Create and maintain conceptual, logical, and physical data models to ensure consistency, reuse, and governance, promoting data-driven decision making.
  • Optimize database performance (SQL/NoSQL) and implement partitioning, indexing, and query tuning strategies to maximize system throughput and minimize latency.
  • Deploy and manage data solutions using cloud-native tools (AWS Glue, Redshift, Azure Synapse, GCP BigQuery, etc.), streamlining data processing and enhancing scalability.
  • Implement data security frameworks (encryption, access control, GDPR, HIPAA compliance, etc.) to protect sensitive information and ensure regulatory compliance.
  • Introduce and oversee metadata management, MDM, and data lineage tracking using industry-standard tools, providing transparency and accountability throughout the data lifecycle.
  • Stay current with emerging technologies (e.g., AI/ML data pipelines, graph databases, lakehouse platforms), fostering innovation and driving data-driven business growth.
  • Leadership & Strategic:
  • Serve as the data architecture authority, defining standards, frameworks, and best practices to guide the development and implementation of data-centric solutions.
  • Lead and mentor Data Engineers, BI Developers, and Analysts in architecture principles and implementation, promoting knowledge sharing and expertise development.
  • Partner with Product, Engineering, and Business teams to translate requirements into data-driven solutions, aligning business objectives with data capabilities.
  • Drive adoption of data governance and data quality frameworks across the organization, ensuring data accuracy, completeness, and reliability.
  • Provide technical leadership in solution design reviews, architecture boards, and strategic planning sessions, guiding the development of innovative data solutions.
  • Evaluate vendor tools and make recommendations for long-term scalability and cost optimization, ensuring alignment with business goals and priorities.

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