Lead Data Architect | Singapore, SG

Synechron Inc.; Singapore; On-site; SGD 120,000 - 150,000; Full time

Job summary

A leading digital transformation consulting firm is seeking a Lead Data Architect to shape the architecture of a large-scale Regional Data Platform for a major banking client. This role involves strategic design, governance, and collaboration with stakeholders to ensure compliance and operational excellence. The ideal candidate will have extensive experience in data engineering and enterprise architecture within the financial domain, with a strong focus on innovation and data governance.

Qualifications

• 10-12 years of experience in data engineering or enterprise data architecture.
• Expertise in building and managing enterprise-scale data platforms on cloud.

Responsibilities

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

Skills

Data Modeling

ETL/ELT

Data Governance

Communication

Leadership

Problem Solving

Education

Bachelor's or Master's degree in Computer Science

Bachelor's or Master's degree in Information Technology

Bachelor's or Master's degree in Data Science

Tools

Apache Spark

Hadoop

Kafka

Snowflake

Databricks

Airflow

DBT

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.

S YNECHRON'S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative 'Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

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At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative...

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