14 дней назад
Lead Solution Architect - Data (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
Lead Solution Architect - Data (AWS): Architecting enterprise data estates and leading large-scale modernization programs for financial institutions and other enterprises with an accent on legacy platform modernization, cloud adoption, and data governance. Focus on designing AWS lakehouse, streaming, analytics, and AI platforms, defining migration strategies, and guiding executive architecture reviews.
Location: Ho Chi Minh City, Vietnam
Company
is a global software and cloud solutions provider focused on cloud, software, data, AI, and client transformation programs.
What you will do
- Lead enterprise data architecture engagements from discovery and assessment through target-state design, roadmaps, and delivery governance.
- Assess legacy data platforms and define modernization strategies for data warehouses, analytics environments, integration platforms, and reporting ecosystems.
- Design AWS-based cloud data platforms using lakehouse, streaming, analytics, and AI architecture patterns.
- Define migration strategies for moving legacy workloads to cloud platforms while reducing risk and business disruption.
- Establish data governance, data quality, metadata management, security, compliance, and master data management frameworks.
- Lead executive workshops, architecture reviews, technical governance activities, customer engagements, and presales initiatives.
Requirements
- Extensive experience in data architecture, enterprise architecture, or solution architecture, including large-scale data platform programs.
- Deep knowledge of legacy platforms and technologies such as Teradata, Oracle, IBM DB2/Netezza, SAS, Informatica, DataStage, SSIS, and on-premises data warehouse and ETL architectures.
- Strong expertise in modern cloud data platforms, lakehouse architectures, real-time streaming, and modern ELT patterns.
- Very strong hands-on AWS experience across S3, Glue, Redshift, EMR, Lake Formation, Athena, Kinesis, DMS, SageMaker, and QuickSight.
- Experience with presales and consulting engagements, including solution proposals, estimation, and architecture review boards.
- Solid knowledge of data modelling, data integration, data warehousing, and data governance principles.
Nice to have
- AWS certifications such as Solutions Architect Professional or Data Analytics/Data Engineer Specialty.
- Working knowledge of Azure and GCP data services.
Culture & Benefits
- Work with a global organization operating across more than 70 countries.
- Collaborate across borders with a diverse international team.
- Access world-class learning and development programs.
- Build expertise across cloud, software, data, AI, and client transformation.
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