Immediate Opening for Technical Architect

Aspire Systems Digital Private Limited; Ernakulam; Hybrid; INR 4.000.000 - 7.000.000; Vollzeit

Zusammenfassung

Aspire Systems Digital Private Limited is hiring a Technical Architect - Data and AI to architect and implement intelligent, scalable Data and AI platforms across client environments. The role requires travel to client locations as needed and involves leading enterprise-scale data initiatives.

Locations include Chennai, Kochi, Hyderabad, Bangalore, Pune, Mumbai with hybrid work options. 10–15 years of experience in data/AI architecture is expected, along with strong modeling and cloud data

Qualifikationen

• 10–15 years of relevant experience in data and AI architecture.
• Experience architecting enterprise-scale Data and AI platforms.
• Willingness to travel to client locations as required.

Aufgaben

• Architect and implement intelligent, scalable Data and AI platforms.
• Define data architecture blueprints and drive implementation across hybrid locations.

Kenntnisse

Data architecture

Databricks Lakehouse

Semantic modelling

AWS data ingestion

Data modelling (conceptual/logical/phy

Data traceability

Business requirements translation

Data & AI transformation

Jobbeschreibung

Aspire Systems Digital Private Limited

0484 4061901
[e-mail]

Immediate Opening for Technical Architect

Position: Technical Architect - Data and AI

Experience: 10-15 Years

Aspire Systems is looking for an experienced Technical Architect - Data and AI to architect and implement intelligent, scalable, enterprise-grade Data and AI platforms.

Locations: Chennai | Kochi | Hyderabad | Bangalore (Hybrid) | Pune | Mumbai

Mandatory Requirement:

Candidates must be willing to travel to and/or work from client locations based on project requirements, regardless of their base location.

Key Skills Expertise:

• Data Architecture and Enterprise Data Modelling
• Databricks Lakehouse and Unity Catalog
• Semantic Layer, Semantic Modelling and Ontology
• AWS Data Ingestion Services and Scalable Data Pipelines
• Conceptual, Logical and Physical Data Modelling
• End-to-end data traceability and architecture design
• Translating business requirements into scalable data solutions
• Enterprise Data and AI Transformation