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Lead Data Architect – Financial Services Job Opening In Singapore, Singapore – Now Hiring Opensource


Job description

  1. Role Overview

The Lead Data Architect defines and governs the data architecture vision, standards, and implementation patterns for mission-critical Financial Services platforms.

This role requires deep technical and regulatory expertise to design secure, scalable, and MAS-compliant data platforms that enable analytics, AI, and regulatory compliance.

  1. Key Responsibilities

  2. Define and maintain enterprise data architecture blueprints for Core Banking, Payments, Risk, and

Compliance domains.

  • Architect data lakes, data warehouses, and data mesh / data fabric architectures on cloud-native

platforms (Azure / AWS / GCP).

  • Design real-time data streaming architectures using Kafka, Flink, Debezium, and KSQL.

  • Govern data models, metadata, lineage, and master data management (MDM).

  • Establish and enforce data governance frameworks (Apache Atlas, Collibra, Purview) integrated with data

quality metrics.

  • Define data zoning (bronze, silver, gold) and security layer separation aligned with MAS TRM / PDPA /

PCI-DSS.

  • Partner with platform and AI engineering teams to design AI-ready data architectures including feature

stores and vector databases.

  • Lead data migration programs (on-prem to cloud) ensuring lineage, compliance, and traceability.

  • Provide architecture oversight for regulatory and liquidity data programs (MAS 610/649/1003, Basel

III/IV, BCBS 239).

  • Mentor data engineers, participate in architecture governance councils, and review designs for

scalability and compliance.

  1. Required Technical Skills

Category Tools / Technologies

Architecture Data Vault 2.0, Data Mesh, Data Fabric, Canonical Modeling

Cloud Platforms Azure (Synapse, Data Lake, Purview), AWS (Glue, Redshift, Lake Formation), GCP (BigQuery, Data Catalog)

Data Processing Spark, Databricks, Flink, Kafka Streams, Beam

Streaming & Integration Kafka, Confluent, KSQL, Debezium, API-based ingestion

Governance & Quality Collibra, Purview, Apache Atlas, Great Expectations, Monte Carlo

Security RBAC, Encryption, KMS, Tokenization, Audit Trails

Regulatory Focus MAS TRM, PDPA, Basel III/IV, IFRS 9/17, BCBS 239

  1. Experience and Qualifications

  2. Minimum 12+ years of experience in data architecture and engineering, with 5+ years in BFSI.

  3. Proven experience leading enterprise-scale data modernization programs across multi-cloud

environments.

  • Strong expertise in data modeling, governance, and lineage frameworks.

  • Hands-on experience in real-time event-driven architectures and AI/ML enablement.

  • Excellent understanding of regulatory frameworks (MAS TRM, PDPA, BCBS 239).

  • Bachelor's or Master's degree in Computer Science, Information Systems, or a related discipline.

  • Certifications preferred: Azure Solutions Architect Expert, AWS Data Analytics Specialty, TOGAF Certified

Architect.

  1. Key Attributes

  2. Strong stakeholder management and communication skills (business + technical).

  3. Deep understanding of financial systems, data flows, and compliance requirements.

  4. Ability to balance architecture vision with hands-on technical leadership.

  5. Proven ability to mentor and build engineering teams aligned to organizational goals.

Required Skill Profession

Other General


  • Job Details

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Are You Looking for Lead Data Architect – Financial Services Job?

Great news! is currently hiring and seeking a Lead Data Architect – Financial Services to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Opensource adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Singapore laws and regulations

What Is the Average Salary Range for Lead Data Architect – Financial Services Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Lead Data Architect – Financial Services?

Key qualifications for Lead Data Architect – Financial Services typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Lead Data Architect – Financial Services Job Success

Opensource interview tips for Lead Data Architect – Financial Services

Here are some tips to help you prepare for and ace your Lead Data Architect – Financial Services job interview:

Before the Interview:

Research: Learn about the Opensource's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

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Be Honest: Don't exaggerate your skills or experience.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Lead Data Architect – Financial Services interview at Opensource, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Opensource's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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