Data Architect (AI)

Build & optimize a high performance data platforms that powering analytics, dashboards , and AI models Pioneer team to freeeing Data Scientists & Analysts team from manual engineering Salary up to $12,000 + AWS + Bonus We're hiring Data Architect to overse the architecture across petabyte-scale datasets, mission-critical analytics workloads, and evolve the company's data foundation Key Responsibilities: Lead evaluation and integration of enterprise data and AI platforms. Design cost-efficient, high-performaing data infrastructures supporting analytics, ML, and LLM applications. Design and implement multi-layer data warehouse and lakehouse architectures for structured, semi-structured, and unstructured data. Build and maintain data flow diagrams, ER models, and lineage maps for end-to-end data flow transparency and traceability. Implement pipeline monitoring, error alerting, and system health dashboards for reliability and uptime. Enforce masking, encryption, and least-privilege access aligned with PDPA/GDPR standards. Lead proof-of-concepts for emerging tools and automation frameworks. Introduce modern paradigms (data mesh, data febric, lakehouse) as company scales. Requirements: min. Degree in Computer Science, Information Systems, or related field min. 10 years experience in data architecture, warehousing, or large-scale infrastructure. Proven success in building enterprise Datawarehosue / Lakehouse in high-volume industries. Deep expertise in AWS stack sch as Redshift, Glue, S3, EMR, Lake Formation, IAM, CloudWatch, SageMaker, etc Knowledge of real-time processing, ETL/ELT automation, and MLOps pipelines. Hands-on governance and compliance exercise (PDPA, GDPR) If you're ready to take your Java skills to the next level and build real-world AI & data solutions, apply now with your updated resume! By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy). This authorizes us to: Contact you about potential opportunities. Delete personal data as it is not required at this application stage. All applications will be processed with strict confidence. Only shortlisted candidates will be contacted. Ng Kee Hung (Vickus) - R2091423 ScienTec Consulting Pte Ltd - 11C5781