Senior Enterprise Data Architect – Cloud, Data Governance

LION & ELEPHANTS CONSULTANCY PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

LION & ELEPHANTS CONSULTANCY PTE. LTD. in Singapore seeks an experienced Data Architect to design and drive enterprise data architecture, data platforms, and governance initiatives.

This full-time, on-site role offers career growth in a data-driven environment. You will create data models, set standards, and collaborate with Data Engineering, BI, and business teams to ensure quality, security and compliant data flows across the enterprise.

Qualifications

• 10+ years of experience in Data Architecture / Data Engineering
• Strong Data Modelling – conceptual, logical & physical
• Enterprise Data Architecture
• Data Warehousing / Data Lake / Lakehouse
• SQL and relational databases
• Cloud data platforms – Azure / AWS / GCP
• ETL/ELT & data integration
• Data Governance, Data Quality & Metadata Management
• Strong stakeholder and solution-design experience

Responsibilities

• Design enterprise data architecture, data models and data solutions
• Define data strategy, architecture standards and best practices
• Develop conceptual, logical and physical data models
• Design modern cloud / data platforms and data pipelines
• Work with Data Engineering, BI, Application and Business teams
• Ensure data quality, security, governance and compliance
• Drive data integration across multiple enterprise systems
• Provide technical guidance on data architecture and solution design

Skills

Data Architecture

Data Modeling

Data Warehousing

SQL

Cloud Platforms (Azure/AWS/GCP)

ETL/ELT

Data Governance

Stakeholder Management

Solution Design

Job description

LION & ELEPHANTS CONSULTANCY PTE. LTD. in Singapore seeks an experienced Data Architect to design and drive enterprise data architecture, data platforms, and governance initiatives.

This full-time, on-site role offers career growth in a data-driven environment. You will create data models, set standards, and collaborate with Data Engineering, BI, and business teams to ensure quality, security and compliant data flows across the enterprise.