Data Architect

Full-time
Ortigas Center, Metro Manila, phvia Workable ATSPosted Jan 9, 2024
Match with my CV

Technical skills

SQLData engineeringData scienceAWSCloud platformsTechnical writing

Role signals

Legal

About this role

  • Data Architecture Design
  • Design, develop and implement data architectures that align with business needs and growth plans. Define data models, schemas and structures for different types of data
  • Data Integration
  • Work closely with data engineers to ensure smooth data integration from various sources. Design and implement ETL (Extract, Transform and Loan) processes.
  • Database Management
  • Optimize and manage databases for performance, scalability, and reliability.
  • Data Governance
  • Establish data governance frameworks, data quality standards, and data lifecycle management processes. Ensure compliance with data privacy regulations and security practices.
  • Collaboration
  • Collaborate with cross-functional teams including data scientists, analysts, software developers, and business stakeholders to understand data requirements and provide suitable solutions.
  • Documentation
  • Document data architecture designs, data flows, and technical specifications. Create and maintain documentation to aid in knowledge sharing and future reference.
  • Performance Optimization
  • Monitor and analyze data system performance. Identify bottlenecks and areas for improvement, and implement solutions to enhance data processing speed and efficiency.

Requirements

  • At least 2 to 4 years in data engineering and architecture, database design, and data integration.
  • Strong understanding of database system, data modeling principles and ETL processes
  • Knowledgable of relational databases (SQL Server and MySQL)
  • Experience with ETL Tools/Data Warehousing Tools (Informatica, etc) and cloud platform (Amazon Web Services)
  • Understanding of data governance, data security, and compliance with regulation
  • Willing to be deployed in Ortigas (fully onsite)

Before you apply

  • 1Which parts of your CV prove experience with SQL, Data engineering, and Data science?
  • 2Which recent work examples would make your application stronger for this role?
  • 3What details from the original source listing should you confirm before applying?

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