全职 Senior Data Architect 工作, 薪水, RiDiK (a Subsidiary Of CLPS. Nasdaq: CLPS) 公司招聘中 - Ricebowl

Role: Data Integration Architect

Exp: 10-15yrs( Not more than that)

Location : Singapore

Notice Period: Immediate to 15days

Key Responsibilitie

• s. Architecture Experience
• :o Minimum 1.5 to 2 years in Data Architect (or similar) rol
• eo Candidates transitioning from other roles are acceptabl
• eo Should not be a complete beginner in architecture (e.g., <1 year not suitable

• )
  • Ideal profile
• : o “Emerging architect” (subset of enterprise architec
• t)o Hands-on + design capabili

• ty
  3. Core Responsibilit
• ies Data Integration Des
• ign• Design data ingestion pipelines across multiple syst
• ems• Integrate data fr
• om:o Source systems → Data platforms (e.g., Snowflake, Databric
• ks)• Define architecture for data movement and f
• low Cross-System Integrat
• ion• Enable integration betwe
• en:o Source systems (e.g., S
• AP)o Data platforms (e.g., Snowflake, Databric
• ks)o Consumption layers (e.g., Data Science tools like SageMak
• er) Architecture Owners
• hip• Design solutions wi
• th:o Clear logic and ration
• aleo Optimized data movement (avoid unnecessary large loads like TB-scale pul
• ls)• Provide guidance to engineering te
• ams Hands-on / Support R
• ole• Shou
• ld:o Assist in build/implementation if requi
• redo Monitor pipelines and integrati

• ons
  4. Required Technical Sk
• ills Must-
• Have• AWS (mandatory) – customer is moving to
• AWS• Strong experience
• in:o Data integration architec
• tureo Pipeline design (ETL/ELT conce
• pts)o Handling large-scale data sys
• tems Good-to-
• Have• API integrations (REST API / Open
• API)• SAP integration experi
• ence• Cross-cloud experi
• enceo AWS ↔ Azure / other cloud integrat
• ions• Exposure
• to:o Snowflake / Databr
• ickso Data Science platforms (SageMaker, DataRobot, e
• tc.)• Understanding
• of:o Monito
• ringo Cost optimiza
• tiono Compute/resource u

• sage
  5. Scope Clarifica
• tions• Focus Area: Data ingestion & integr
• ation• Not manda
• tory:o Deep data processing within a single pla
• tform• Emphasi
• s on:o Moving and connecting data across ecosy
• stemso Enabling downstream consumption (analytics/data sci