Data Integration Architect / Lead

ITC Infotech; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

ITC Infotech is seeking a Data Integration Architect / Lead to design end‑to‑end data flows and guide data integration delivery. The role spans architectural design and hands‑on solution delivery within large enterprise environments.

The ideal candidate will have 12–14 years total experience with 8+ years in data integration and 3+ years in a data architecture or solution design role, with familiarity of Azure Synapse and AWS Databricks for platform modernization.

Qualifications

• Extensive experience designing end-to-end data flows in enterprise environments.
• Strong leadership in data integration delivery.
• Experience with cloud modernization and data governance.

Responsibilities

• Design end-to-end data flows across enterprise applications and analytics platforms.
• Lead integration design and guide engineering teams on implementation best practices.
• Ensure data integrations align with enterprise data architecture, models, and standards.
• Support platform modernization from Azure Synapse to AWS Databricks, including hybrid/co‑existence patterns.
• Review and approve data integration designs for scalability, reliability, security, and governance.
• Act as a bridge between Enterprise Data Architects and Data Engineering teams.

Skills

Data integration

Data engineering

Data architecture

Cloud data platforms

Tools

Azure Synapse

AWS Databricks

Airflow

PySpark

Job description

ITC Infotech a wholly owned ITC ltd company is a leading global technology services and solutions provider, led by Business and Technology Consulting. ITC Infotech provides business-friendly solutions to help clients succeed and be future-ready, by seamlessly bringing together digital expertise, strong industry specific alliances and the unique ability to leverage deep domain expertise from ITC Group businesses. The company provides technology solutions and services to enterprises across industries such as Banking & Financial Services, Healthcare, Manufacturing, Consumer Goods, Retail, Travel and Hospitality, through a combination of traditional and newer business models, as a long-term sustainable partner.

Your X-Factor

• Work ethic - You are a consummate professional
• Aptitude - You have an innate capacity to transition from project to project without skipping a beat.
• Communication - You have excellent written and verbal communication skills for coordination across projects and teams.
• Impact - You are a critical thinker with an emphasis on creativity and innovation.
• Passion - You have the drive to succeed paired with a continuous hunger to learn.
• Leadership - You are trusted, empathetic, accountable, and empower others around you

Role Summary

Seeking a Data Integration Architect / Lead who combines enterprise data architecture expertise with hands‑on data integration leadership. This role is responsible for designing end‑to‑end application‑to‑application data flows and guiding data integration delivery.

The ideal candidate operates equally comfortably at architectural design level and solution delivery level.

Key Responsibilities

• Design end‑to‑end data flows across enterprise applications and analytics platforms
• Lead integration design and guide engineering teams on implementation best practices
• Ensure data integrations align with enterprise data architecture, models, and standards
• Support platform modernization from Azure Synapse to AWS Databricks, including hybrid/co‑existence patterns
• Review and approve data integration designs for scalability, reliability, security, and governance
• Act as a bridge between Enterprise Data Architects and Data Engineering teams

Qualifications

Experience Range

12–14 years of total experience, with:

• 8+ years in data integration / data engineering
• 3+ years in a data architecture or solution design role
• Prior involvement in data platform modernization or cloud migration initiatives preferred

Data Platforms

• AWS Databricks (target / modernization platform)
• Data lakes and lakehouse architectures

Data Integration & Processing

• ETL / ELT frameworks
• Spark / PySpark
• Batch and near‑real‑time processing
• APIs, messaging, and file‑based integrations
• Azure and AWS core services (storage, compute, networking)
• Orchestration tools (ADF, Airflow, or equivalent)
• SQL and data modeling (logical & physical)
• Data governance, metadata, and lineage concepts (desirable)
• Experience working in large‑scale enterprise environments

ITC Infotech is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. ITC infotech is committed to providing veteran employment opportunities to our service men and women