Lead Data Architect

Synechron Inc.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

A leading digital transformation consulting firm seeks a Lead Data Architect to drive the design and governance of a large-scale Regional Data Platform for a major banking client. The role involves strategic planning, platform development, and ensuring compliance with regulatory standards. Ideal candidates will have extensive experience in data engineering, strong technical skills, and a collaborative mindset.

Qualifications

• 10-12 years of experience in data engineering or enterprise data architecture.
• Demonstrated expertise in building enterprise-scale data platforms on cloud.
• Strong skills in data modeling, ETL/ELT, and pipeline orchestration.

Responsibilities

• Define the strategic roadmap for the regional data platform.
• Lead the design and delivery of the data platform including ingestion and analytics.
• Ensure compliance with regulatory requirements and data governance.

Skills

Data Modeling

ETL/ELT

Pipeline Orchestration

Data Governance

Regulatory Compliance

Data Privacy

API Integrations

Microservices

DevOps/CI-CD

Stakeholder Management

Education

Bachelor's or Master's degree in Computer Science

Degree in Information Technology

Degree in Data Science

Tools

Apache Spark

Hadoop

Kafka

Snowflake

Databricks

Airflow

DBT

AWS

Azure

GCP

Job description

Synechron is a leading digital transformation consulting firm for the financial services industry, combining innovative technology and deep domain expertise. We collaborate with top-tier global banks to design and deliver cutting-edge solutions that drive meaningful business outcomes.

We are currently looking for an experienced Lead Data Architect to drive the strategic design, development, and governance of a large-scale Regional Data Platform for a major banking client.

Role Overview

As the Lead Data Architect / Data Platform Lead, you will play a pivotal role in shaping the architecture and operational excellence of the bank's regional data platform. Your work will ensure alignment with enterprise-wide data strategies, compliance with regulatory requirements, and delivery of actionable insights that drive decision-making across the bank.

Key Responsibilities

1. Data Platform Strategy & Architecture
   • Collaborate with the Head of Regional Architecture & Engineering to define the strategic roadmap for the regional data platform.
   • Align platform design with enterprise architecture principles and long-term business goals.
   • Architect scalable, secure, and efficient solutions that integrate with existing enterprise systems.
2. Platform Development & Optimization
   • Lead the end-to-end design and delivery of the data platform including ingestion, transformation, and analytics pipelines.
   • Drive performance tuning, cost optimization, and operational excellence.
   • Ensure resilience, availability, and scalability of platform components.
3. Data Governance & Compliance
   • Enforce regulatory compliance (e.g., MAS guidelines, BCBS 239) in collaboration with data governance and compliance teams.
   • Establish data quality, metadata, and lineage frameworks.
   • Drive data security and privacy practices in line with enterprise policies.
4. Enterprise Integration & Stakeholder Collaboration
   • Work closely with enterprise architects, IT, and business stakeholders to meet evolving data and analytics needs.
   • Enable seamless integration of the data platform with business systems, reporting tools, and advanced analytics capabilities.
5. Technology Evaluation & Innovation
   • Keep up with emerging trends in data engineering, cloud, and AI/ML.
   • Evaluate and recommend modern tools and architectures to future-proof the data platform.
   • Champion innovation and continuous improvement across the data ecosystem.

Required Skills & Qualifications

Education:

• Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or related field.

Experience:

• 10-12 years of experience in data engineering or enterprise data architecture within the banking/financial domain.
• Demonstrated expertise in building and managing enterprise-scale data platforms on cloud (AWS, Azure, GCP).
• Proven track record with technologies such as Apache Spark, Hadoop, Kafka, Snowflake, Databricks, etc.

Technical Competencies:

• Strong skills in data modeling, ETL/ELT, and pipeline orchestration (Airflow, DBT).
• Deep understanding of data governance, regulatory compliance (MAS, BCBS 239), and data privacy.
• Experience with API integrations, microservices, and DevOps/CI-CD pipelines.
• Ability to implement enterprise-wide data security and access control frameworks.

Soft Skills:

• Excellent communication and stakeholder management abilities.
• Strong leadership, analytical, and problem-solving skills.
• Collaborative and proactive mindset to work across cross-functional teams.

Diversity & Inclusion

Synechron is proud to be an equal opportunity workplace and an affirmative action employer. We foster an inclusive culture that promotes equality, diversity, and respect for all. We encourage applicants from diverse backgrounds and offer flexible arrangements, mentoring, internal mobility, and development programs. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to characteristics protected by law.