Scalable Data Warehouse Architect

3 days ago


Pasig, National Capital Region, Philippines beBeeDataAnalytics Full time $180,000 - $220,000

We are seeking a seasoned Data Analytics Specialist to join our team in designing, building and optimizing scalable data warehouses and AI solutions.

The ideal candidate has a proven track record of delivering end-to-end data warehouses from the ground up, making key architectural decisions and implementing them effectively.

About the Role:
  • Design and implement a scalable, high-performance data warehouse aligned with business needs, translating business requirements into dimensional models, ETL/ELT workflows, and analytics-ready datasets.
  • Develop, monitor and maintain ETL/ELT processes using modern platforms and scripting, optimize data models, queries and overall system performance, ensuring compliance with data governance, quality, security and privacy standards.
  • Lead the consolidation and migration of legacy systems to modern cloud-based platforms, maintaining accurate documentation, including data dictionaries, lineage and process flows.
  • Deliver quick wins and actionable insights within the first few weeks, providing clear direction on priorities.
  • Mentor and transfer knowledge to internal team members to ensure long-term capability.
Requirements:
  • Bachelor's degree in Computer Science, Information Technology or related field (Master's degree a plus).
  • Minimum 8-10 years in data warehousing, business intelligence or data engineering with a proven track record of designing and implementing data warehouses from scratch.
  • Hands-on experience with cloud-based platforms, strong SQL/T-SQL expertise in data modeling and performance tuning.
  • Solid background in ETL/ELT development and scheduling, exposure to data lakes and extensive experience integrating data from multiple sources.
  • Advanced SQL programming and performance optimization, strong analytical and problem-solving abilities.
  • Excellent communication and stakeholder engagement skills, knowledge of metadata management, data governance and quality frameworks.

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