Data Architect

Infosys Limited; Singapore; Vor Ort; SGD 180.000 - 240.000; Vollzeit

Zusammenfassung

Infosys Limited is seeking a Data Platform Architect in Singapore to own architecture, governance and the technical roadmap for enterprise data and analytics platforms. You will work with business, security, and IT teams to deliver scalable and secure designs.

The role requires extensive Snowflake and analytics platform expertise, advanced SQL and data modelling, and proven leadership in architecture reviews within regulated environments.

Qualifikationen

• 10+ years of relevant experience in data platforms or analytics architecture.
• Strong hands-on Snowflake and enterprise data‑platform expertise.
• Advanced SQL and data modelling experience.
• Ability to lead architecture reviews and governance in regulated environments.

Aufgaben

• Own target architecture, standards and roadmap for Snowflake, Qlik, Tableau, Airflow and supporting data services.
• Lead solution design for ingestion, transformation, data modelling and analytics.
• Govern security, access, performance, availability and cost controls.
• Provide technical oversight for BAU, incidents, problem management and releases.
• Mentor engineers and promote reusable patterns and documentation.

Kenntnisse

Enterprise architecture

Governance

Data platform strategy

Cloud architecture

Stakeholder leadership

Security

Cost management

Performance optimization

Regulated environment

Ausbildung

Bachelor's or Master's in CS/IT/Engineering

Tools

Snowflake

Qlik

Tableau

Apache Airflow

Python

Jobbeschreibung

Detailed Job Description :

The Data Platform Architect will own the architecture, governance and technical roadmap for enterprise data and analytics platforms. The role will work with business, enterprise architecture, security, infrastructure and application teams to convert strategic requirements into scalable, secure and supportable designs.

The candidate will lead architecture and design across Snowflake, Qlik, Tableau, Airflow and related cloud services; define data ingestion, transformation, modelling and access patterns; establish platform guardrails; and guide teams through implementation, testing, release and production support. The architect will also oversee performance, cost, security, resilience, monitoring and automation, and will support adoption of Snowflake Cortex, Stream lit and agent-based analytics where appropriate.

The role requires at least 10 years of relevant experience, including strong hands‑on Snowflake and enterprise data‑platform expertise, advanced SQL and data modelling, Python and Airflow ,analytics‑platform knowledge, and proven ability to lead architecture reviews and operational governance in a regulated environment.

This position is critical to maintaining platform continuity, strengthening architecture governance and enabling reliable delivery of data, reporting and AI initiatives.

Key Responsibilities :

• Own target architecture, standards and roadmap for Snowflake, Qlik, Tableau, Airflow and supporting data services.
• Lead solution design for ingestion, transformation, data modelling, analytics, platform automation and AI use cases.
• Govern security, access, performance, availability, cost ,backup, recovery and lifecycle controls.
• Provide technical oversight for BAU support, incidents ,problem management, releases and platform upgrades.
• Mentor engineers and administrators, review designs and promote reusable patterns and documentation.

Key Performance Indicators

• Stable, secure and performant data platforms with service targets consistently met.
• Timely architecture decisions and high‑quality delivery of platform changes.
• Optimized platform usage and cost with reduced operational risk and manual effort.
• Effective knowledge transfer and positive stakeholder feedback.

Knowledge and skills (general and technical)

Technical Skills

• Enterprise data-platform architecture and solution governance – Mandatory
• Snowflake architecture, security, performance, cost management and data sharing – Mandatory
• Advanced SQL, dimensional modelling, data warehousing and ETL/ELT patterns – Mandatory
• Python and Apache Airflow for orchestration, automation and operational support – Mandatory
• Qlik and Tableau platform architecture, administration and integration – Mandatory
• Cloud architecture, DevOps, monitoring, security and disaster‑recovery practices – Mandatory
• Generative AI, Snowflake Cortex, Stream lit and agent‑based analytics – Good to have

Domain Skills

• Investment management or financial‑services data – Good to have
• Enterprise data governance, audit and regulatory controls –Mandatory
• IT service management, incident, problem, change and release processes – Mandatory
• Architecture communication, stakeholder management and technical leadership – Mandatory.

Educational Qualification:

Bachelor’s or Master’s degree in Computer Science ,Information Technology, Engineering, Data Engineering or a related field.