Data Architect

A technology-led business consulting firm under well-established Japanese Corporation, is looking for a Data Architect to bring modern technology to reinvent business which spans various industries.

Responsibilities:
- Design and develop end-to-end data architecture, including conceptual, logical, and physical data models 
- Build, deploy, and operationalize scalable data pipelines and ML/AI workflows 
- Collaborate with data scientists and engineers to identify, design, and implement AI use cases 
- Translate business requirements into technical solutions aligned with architectural standards 
- Evaluate and select appropriate technologies across open-source and commercial ecosystems 
- Integrate AI/ML systems with existing data platforms and enterprise applications 
- Implement and enforce data governance, quality, and security standards 
- Conduct audits of data systems, models, and AI workflows to ensure compliance and continuous improvement 
- Optimize data storage, processing, and retrieval for performance and scalability 
- Monitor emerging technologies and propose innovative solutions for business transformation 
- Communicate complex technical concepts clearly to both technical and non-technical stakeholders 
- Collaborate across teams to ensure successful delivery of data and AI initiatives 
- Support client-facing activities including workshops, solution design, and pre-sales discussions 
- Promote a culture of innovation, agile development, and continuous improvement


Why should you apply:
- Small, agile team with opportunities to take ownership and work across multiple areas. 
- Strong collaborative culture where team members support each other closely. 
- Backed by large Japanese Corporation, offering stability and long-term growth. 
- Exposure to diverse industries and impactful transformation projects. 
- Hybrid work model with strong focus on learning and modern technology


Company Details: 
A leading technology-focused business consulting firm specializing in digital transformation, AI, cloud, and data-driven business solutions for enterprise clients. The organization combines business strategy with advanced technology implementation to help companies modernize operations and accelerate innovation.Teams work on end-to-end transformation initiatives spanning consulting, system architecture, data engineering, and emerging technologies, which is why employees gain exposure to large-scale global projects across diverse industries in a collaborative and fast-paced environment. The company offers strong career growth for individuals looking to develop both technical expertise and strategic consulting capabilities.


Working Hours: 9:00 – 18:00 (Mon-Fri) Flexi Hours
Working Style: Hybrid (1-2 Days WFH)
Holidays: Saturday, Sunday, and National Holidays, Year-end and New Year Holidays, Paid Holidays, Other Special Holidays
Services/Benefits: Social insurance, Pension, Transportation Fee, and more
Interviews: 3 

- Strong expertise in database design, data modeling, ETL/ELT processes, and data integration 
- Hands-on experience with big data and cloud data platforms such as BigQuery, Apache Spark, Hadoop, or equivalent 
- Experience designing and implementing scalable data pipelines and data warehouses 
- Familiarity with machine learning concepts, AI workflows, and MLOps practices 
- Experience working with cloud platforms such as AWS, GCP, or Azure 
- Strong understanding of data governance, data quality, and security principles 
- Knowledge of DevOps practices and CI/CD concepts for data/ML pipelines 
- Strong analytical and problem-solving skills with attention to detail 
- Excellent communication and stakeholder management skills in cross-functional environments 
- Ability to work in ambiguous environments and independently drive solutions 
- Strong ownership mindset with a hands-on approach to execution 
- Passion for technology, innovation, and continuous learning