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9 дней назад

Senior Data/AI Architect (Lead / Principal / Director)

260 000 - 285 000SGD
Формат работы
onsite
Тип работы
fulltime
Грейд
senior/lead/director
Английский
b2
Страна
Singapore
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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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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