Senior Data/AI Architect (Lead / Principal / Director)
Контакты
260 000 - 285 000SGD
Формат работы
onsite
Тип работы
fulltime
Грейд
senior/lead/director
Английский
b2
Страна
Singapore
aisnowflakekafkacloudmachine learningdatabricksdata integrationdata architecturedata governancereal time streaming
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Выше рынка
260к-285к SGD/год
180к SGD220к SGDмедиана260к SGD
По похожим ролям (50) ~ 220к SGD/год
На СНГ рынке: $4.6к/мес ($3.2к - $6к)
76
Хорошая вакансия
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Здесь предлагают стратегическую работу в области архитектуры данных и ИИ с указанной зарплатой в верхней части рыночного диапазона, но широкий охват задач и поездки по региону могут подойти не всем.
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Широкий охватКомандировки по регионуСовременный стекЗарплата указана
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data/AI Architect (Lead / Principal / Director) (Cloud Data Architecture/AI): Designing and optimizing modern data architectures for advanced analytics, AI/ML, and real-time data processing with an accent on cloud platforms, governance frameworks, and scalable lakehouse and data mesh solutions. Focus on advising executive stakeholders, defining AI-ready data strategies, and integrating streaming, data quality, compliance, and emerging data technologies.
Location: Singapore; ability to travel across the Asia-Pacific region required.
Salary: SGD 260,000–285,000 per annum.
Company
hirify.global is recruiting for a data and AI architecture advisory role.
What you will do
Define and advise on modern data architectures aligned with business goals, AI initiatives, and analytics.
Guide adoption of cloud-native and hybrid data platforms, including AWS, Azure, GCP, Snowflake, and Databricks.
Lead data modeling, warehousing, lakehouse, data mesh, data fabric, and serverless architecture strategies.
Develop data governance frameworks, security policies, compliance standards, metadata, cataloguing, lineage, quality, accuracy, and reliability strategies.
Design AI/ML-ready data architectures and advise on real-time streaming, data integration, graph database, and NoSQL solutions.
Advise executive stakeholders, collaborate with data scientists, engineers, analysts, and business leaders, and assess emerging technologies and industry practices.
Requirements
Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field.
10–16 years of experience in data architecture, data engineering, or cloud data solutions.
Ability to travel across the Asia-Pacific region.
Deep knowledge of AWS Redshift, Azure Synapse, Google BigQuery, Snowflake, and related platforms.
Strong experience with data governance, master data management, and compliance frameworks.
Knowledge of AI-ready data architectures and ML workflows.
Expertise in ETL/ELT strategies, data integration, and automation.
Familiarity with TOGAF, Zachman, or similar architecture frameworks.
Experience with real-time streaming technologies, including Kafka, Kinesis, and Pub/Sub.
Nice to have
Cloud certifications in AWS, Azure, or GCP.
Experience with Data Mesh and Data Fabric architectures.
Knowledge of MongoDB, Neo4j, Cassandra, or similar technologies.
Understanding of Responsible AI, AI governance, and data ethics.
Culture & Benefits
Permanent role based in Singapore.
Strategic advisory work with executive stakeholders and multidisciplinary data teams.
Exposure to modern cloud, AI/ML, streaming, governance, and emerging data technologies.
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