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Data Architect

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Before you apply
LocationOrtigas Center, Metro Manila, Philippines
Typefull-time
SeniorityMid
Experience2–4 yrs
Company size501–1,000 people
PostedJan 15, 2024 · 2y ago
Verified live2d ago
May no longer be actively hiring
Posted by the company on Jan 15, 202491% of this company's open roles have been listed for 90+ days
How we check a job is still live
At a glanceSummarised by Seekless from the posting.
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
Skills
ETL
Informatica
Amazon Web Services
SQL Server
MySQL
Responsibilities
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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
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Data Integration - Work closely with data engineers to ensure smooth data integration from various sources. Design and implement ETL (Extract, Transform and Loan) processes.
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Database Management - Optimize and manage databases for performance, scalability, and reliability.
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Data Governance - Establish data governance frameworks, data quality standards, and data lifecycle management processes. Ensure compliance with data privacy regulations and security practices.
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Collaboration - Collaborate with cross-functional teams including data scientists, analysts, software developers, and business stakeholders to understand data requirements and provide suitable solutions.
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Documentation - Document data architecture designs, data flows, and technical specifications. Create and maintain documentation to aid in knowledge sharing and future reference.
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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
Skills and Qualifications:
•
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