Data Infrastructure Architect, Senior/ Principal

1 week ago

Singapore TRITON AI PTE. LTD. Full time

**Permanent Role + AWS + VB**:

- **Basic up to 5.5k (Senior Executive Level with experience)**:

- **Basic up to 9k (Principal Analyst Level with experience)**:

- **Reputable Healthcare Sector, West MRT**:
**Responsibilities**:

- Collaborate with stakeholders to understand requirements for data structure, availability, scalability & access.
- Establish and maintain data pipelines from ingestion (batch, real-time, or streaming), stage, extract-transform-load (or extract-load-transform), fuse, and use in analytics and machine learning (batch, real-time and asynchronous)
- Establish and maintain data virtualization over ingested datasets in the company's Data Lake, for data consistency, standardization, and ease of use.
- Assist in data governance quality assurance for oversight, monitoring and reporting results
- Collaborate with infrastructure and operations teams to architect and implement performance-tuning solutions for data storage and analytics.
- Communicate and build partnerships with stakeholders, vendors, developers, and testers, presenting technical concepts to business stakeholders in understandable terms to garner support for solution architectures, resourcing, and budgeting to align with the data architectural roadmap.
- Foster continuous improvement by looking for opportunities to improve design practices and technical approaches within the department.
- Evaluate tools and techniques, engaging vendors where needed, to support estimation of effort, costs, and bill of materials, and create common ground for the solution to be developed.
- Serve as a technical expert on solution design, development, and implementation requirements to address business needs while balancing financial and technical constraints such as scalability, security, performance, and reliability.

**Requirements**:

- Bachelor’s Degree in Business, Digitalization, Technology or related discipline
- At least 5 years of experience in data architecture/engineering.
- Working knowledge of common programming languages such as Python, R, Java, or C#.
- Experience with relational databases (including SQL fluency) and nonrelational databases.
- Familiarity with extract-transform-load/extract-load-transform operations is a must (eg Informatica).
- Familiarity with data warehousing concepts (schemas, operational data stores, feature stores, datamarts) is a must.
- Experience with cloud-based computing, storage, analytics, administration, and management, such as Healthcare Commercial Cloud.
- Prior experience in the healthcare industry or technology startups will be an advantage
- Professional certification in cloud infrastructure, Project Management, data engineering, data-ops, or equivalent areas would be advantageous.
- Working knowledge of streaming ingestion and streaming analytics is an advantage.
- Working knowledge of container technology is an advantage.

Reg No. R2196499

Triton AI Pte Ltd

License no. 21C0661

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