数据架构师
Data Architect
Overview
我们的客户是一家快速发展的数据与人工智能咨询公司，在亚太地区提供具有影响力的解决方案。作为AWS独家合作伙伴，他们专注于帮助组织现代化其数据平台，采用高级分析，并实施可带来可衡量业务成果的AI驱动解决方案。
他们正在寻找一位经验丰富的数据架构师，负责设计和交付企业级云数据解决方案，支持亚太地区的大型转型项目。您将与客户、合作伙伴和云服务提供商紧密合作，定义并实施现代数据和AI平台。
Responsibilities
- 设计安全、可扩展且现代化的基于云的数据架构，以支持数字化转型计划。
- 确保数据平台符合治理、隐私和监管合规要求。
- 将复杂的技术解决方案转化为对利益相关者和管理层清晰的业务价值。
- 为分布在不同团队中的工程师和架构师提供技术领导力和指导。
- 与云服务提供商、合作伙伴和客户协作，共同开发创新解决方案和加速器。
- 在整个生命周期中主导解决方案架构，从售前（RFP、方案设计）到实施和交付监督。
- 推动性能优化、成本效率和长期可扩展性的最佳实践。
- 提供高影响力解决方案，提升客户体验、运营效率和决策能力。
- Required Skills & Experience
- Industry & Domain Expertise
- 在以下领域有成功交付大规模、关键任务项目的实际经验：
- 金融服务（例如核心系统现代化、欺诈检测、风险与合规）
- 电信（例如OSS/BSS、网络分析、客户平台）
- 对监管和合规框架有深入了解，如PDPA、MAS TRM、APRA和GDPR。
Cloud & Data Architecture
- 至少5年以上设计AWS数据平台的经验。
- 精通构建数据湖、实时数据流解决方案和分析平台。
- 有混合云和多云环境的经验。
- 熟练使用AWS服务，如S3、Redshift、Glue、EMR、Lambda、DynamoDB和Athena。
Data Engineering & Governance
- 熟悉数据治理、血缘关系、质量、目录和安全。
- 有设计和优化可扩展数据管道的经验
查看英文原文
Overview
Our client is a rapidly growing Data and AI consulting firm delivering impactful solutions across the Asia-Pacific region. As an AWS-exclusive partner, they specialize in helping organizations modernize their data platforms, adopt advanced analytics, and implement AI-driven solutions that deliver measurable business outcomes.
They are looking for an experienced Data Architect to design and deliver enterprise-grade cloud data solutions supporting large-scale transformation initiatives across the APAC region. You will collaborate closely with clients, partners, and cloud providers to define and implement modern data and AI platforms.
Responsibilities
- Design secure, scalable, and modern cloud-based data architectures that support digital transformation programs.
- Ensure data platforms adhere to governance, privacy, and regulatory compliance requirements.
- Translate complex technical solutions into clear business value for stakeholders and leadership teams.
- Provide technical leadership and mentorship to engineers and architects across distributed teams.
- Collaborate with cloud providers, partners, and clients to co-develop innovative solutions and accelerators.
- Lead solution architecture across the full lifecycle, from pre-sales (RFPs, solution design) to implementation and delivery oversight.
- Drive best practices in performance optimization, cost efficiency, and long-term scalability.
- Deliver high-impact solutions that improve customer experience, operational efficiency, and decision-making capabilities.
Required Skills & Experience
Industry & Domain Expertise
- Proven experience delivering large-scale, mission-critical projects within:
- Financial services (e.g., core systems modernization, fraud detection, risk & compliance)
- Telecommunications (e.g., OSS/BSS, network analytics, customer platforms)
- Strong understanding of regulatory and compliance frameworks such as PDPA, MAS TRM, APRA, and GDPR.
Cloud & Data Architecture
- At least 5+ years of experience designing AWS-based data platforms.
- Expertise in building data lakes, real-time data streaming solutions, and analytics platforms.
- Experience with hybrid and multi-cloud environments.
- Hands-on experience with AWS services such as S3, Redshift, Glue, EMR, Lambda, DynamoDB, and Athena.
Data Engineering & Governance
- Strong knowledge of data governance, lineage, quality, cataloging, and security.
- Experience designing and optimizing scalable data pipelines.
- Familiarity with ETL/ELT frameworks and tools (e.g., Glue, Kafka, Airflow, Spark/Hadoop ecosystem).
Databases & Analytics
- Deep understanding of data warehousing, MPP systems, and NoSQL databases.
- Experience with SQL-based analytics tools (e.g., Hive, Spark SQL, Athena, Redshift Spectrum).
- Proficiency in programming languages such as Python, Java, or Scala.
Leadership & Delivery
- Experience owning end-to-end solution delivery from pre-sales to implementation.
- Strong stakeholder management skills, including engagement with senior leadership.
- Ability to translate technical concepts into business outcomes.
- Proven experience leading and mentoring distributed teams.
- Willingness to travel for client and project engagements.
Preferred Qualifications
- Experience with Generative AI data integration (e.g., vector databases, embeddings).
- Exposure to multi-country or cross-regional projects.
- Familiarity with other cloud platforms (Azure, GCP).
- Thought leadership contributions (e.g., speaking engagements, publications, open-source work).
- Experience supporting go-to-market initiatives or solution accelerators.
- Knowledge of disaster recovery and backup strategies for large-scale systems.
What They Offer
- Competitive compensation and benefits package.
- Your work directly contributes to real-world AI solutions and business outcomes.
- Opportunities for continuous learning, mentorship, and career growth.
- A collaborative and high-performing work environment.
- Exposure to regional and international projects
Originally posted on Himalayas