обновлено 20 дней назад
Data Architect (AWS)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Architect (AWS): Defining enterprise data architecture and modernizing data landscapes with an accent on data governance, cloud platforms, data integration, and data lakehouses. Focus on designing data models and solutions, leading migration and ETL initiatives, implementing secure data products, and guiding engineering and analytics teams.
Location: Taguig City, National Capital Region (Manila), Philippines
Company
creates opportunities to make a difference in the lives of clients, individuals, families, and communities.
What you will do
- Define and maintain enterprise data architecture, data models, standards, documentation, and governance practices.
- Develop data strategies, roadmaps, and target architectures aligned with business objectives, regulatory requirements, and corporate principles.
- Design data solutions and integrations across platforms, including data migrations, data lakehouses, data warehouses, and ETL pipelines.
- Collaborate with BI, data analytics, operations, marketing, application development, database administration, and security teams.
- Provide technical leadership and mentorship to data engineers, analysts, and delivery teams.
- Drive adoption of cloud databases, NoSQL and NewSQL stores, modern integration patterns, streaming, and cloud data lakehouses.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- At least 10 years of experience in data architecture, data modeling, and data management.
- Strong experience with SQL, NoSQL, cloud databases, data warehouses, ETL pipelines, and data integration.
- Experience with AWS, data modeling tools such as Erwin or PowerDesigner, and integration tools such as Amazon DMS, AWS Glue, or Informatica Cloud Data Integration.
- Knowledge of data governance, data privacy, security, data quality, metadata management, master data management, and compliance standards.
- Working knowledge of data lakehouses using Apache Iceberg and medallion architecture, data products through APIs, data streaming, BI, and data analytics.
Nice to have
- AWS or another relevant cloud certification.
- Experience presenting architecture and solution designs to technical and business stakeholders, including C-suite, regional, and global counterparts.
Culture & Benefits
- Collaborative work with experts across business, technology, analytics, and operations functions.
- Opportunities to share knowledge, provide mentorship, and contribute to modern data technology adoption.
- Fast-paced environment focused on problem-solving, analytical thinking, and stakeholder collaboration.
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