The Data Architect is responsible for designing scalable data architectures, providing strategic recommendations, mentoring team members, and ensuring data integrity and performance through modern technologies.
JOB DESCRIPTION
- Provide strategic recommendations on leveraging data lakes, data meshes, and serverless architectures to optimize data processing and storage.
- Assess and recommend AI/ML-enabled data architectures that facilitate scalable feature engineering and model training pipelines.
- Define and advise on the design of modern, future-ready data architectures that align with business goals and support AI, analytics, and automation.
- Provide thought leadership on best practices for data modeling, data warehousing, and lakehouse architectures to ensure scalability and performance.
- Develop data models, schemas, and standards that ensure data integrity, quality, and accessibility.
- Design & Build solutions with AI Services like Bedrock, Google etc..
- Mentor and guide team members in best practices for data architecture and management.
- Participate in code reviews and contribute to the improvement of data engineering best practices.
JOB REQUIREMENTS
Requirements:
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 4-5 years of experience in designing and building high-performance cloud-based data architectures.
- Experience in Data Engagements, especially leading data strategy, roadmap and implementation.
- Tech Stack – Python, SQL, AWS, Snowflake, DBT, Airflow, Bedrock, NoSQL.
- Knowledge of container-based big data architectures and Kubernetes.
- Familiarity with DevOps / DataOps / MLOps concepts.
#LI-JL2
BUSINESS SEGMENT
CorporatePLATFORMOperating Division
Top Skills
Airflow
AWS
Bedrock
Dbt
Kubernetes
NoSQL
Python
Snowflake
SQL
Keppel Singapore Office
1 HarbourFront Avenue, Level 2, Keppel Bay Tower, Singapore, 098632
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