Data Architect

Synechron; Singapore; On-site; SGD 150,000 - 230,000; Full time

Job summary

Synechron is seeking an experienced Data Architect to lead design, build, and governance of enterprise data platforms across APAC markets, with a strong focus on AML and regulatory data. You will drive end-to-end delivery from greenfield builds to operationalisation in a multi-country banking context.

The role requires deep data architecture expertise, Databricks proficiency, and ability to coordinate across business, technology, and regional leadership to deliver scalable solutions.

Qualifications

• 10+ years in data architecture or related roles.
• 8+ years in Databricks.
• Strong exposure to Commercial / Corporate Banking and AML data domains.
• Experience working in regional APAC environments.

Responsibilities

• Design and implement data lakehouse architectures on cloud platforms.
• Lead end-to-end data engineering and platform delivery across multiple streams.
• Partner with analytics teams to support BI, AML monitoring, and regulatory use cases.
• Define data governance, stewardship, and quality controls across environments.
• Collaborate with regional leadership and stakeholders to align architecture with business goals.

Skills

Data architecture

Cloud architecture

Stakeholder management

APAC experience

Tools

Databricks

Delta Lake

Cloud platforms

Job description

Synechron is a global technology consulting firm that helps leading organizations accelerate digital transformation through innovation, expertise, and agility. With more than 16,500 professionals across around 60 offices in over 20 countries, we combine deep industry knowledge with advanced capabilities in AI, cloud, cybersecurity, and data engineering. Our regional teams, supported by strategic delivery centers, provide scalable, cost-efficient solutions tailored to local markets. Through our award-winning Synechron FinLabs accelerators and strategic partnerships with AWS, Microsoft, Databricks, Salesforce, and ServiceNow, we enable clients to innovate fast and lead with confidence. For more information on the company, please visit our website or LinkedIn community.

Diversity, Equity, and Inclusion

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and 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.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

We are seeking an experienced Data Architect, with strong expertise on Databricks to lead design, build, and governance of enterprise data platforms supporting Commercial & Corporate Banking, with a strong focus on AML, financial crime, and regulatory data. This role spans multiple APAC markets and requires a

hands-on architect who can drive end-to-end delivery, from greenfield builds to operationalisation.

Key Responsibilities

• Data Architecture & Platform Design- Architect and implement Data Lakehouse solutions on cloud platforms (AWS / Azure / GCP).- Design end-to-end data ecosystems covering ingestion, storage, modelling, analytics, and governance.- Define data standards, blueprints, and reference architectures across the organisation.- Ensure scalable, secure, and compliant data environments aligned to banking and AML requirements.
• Engineering & Delivery- Lead ground-up platform builds, taking projects from concept to production.- Oversee data engineering streams, including pipelines, orchestration, quality, lineage, and metadata. Support integration of AI/ML tools into the data platform.- Work across multiple project streams and client groups within a broader program.
• Analytics & Consumption Layer- Partner with analytics teams to ensure data models support BI, reporting, AML monitoring, and regulatory use cases.- Understand end-to-end flows from source systems -> data lakehouse -> analytics.
• Data Governance & Operating Model- Implement and maintain data governance frameworks, including stewardship, lineage, and quality controls.- Support ongoing client environment maintenance, architecture enhancements, and governance compliance.
• Stakeholder Management- Communicate effectively with business, technology, and regional leadership. Translate complex architecture into clear business outcomes. Influence decision-making across cross-functional teams.
• Regional Scope- Work across multiple APAC markets including Thailand, Korea, Japan, Myanmar, India, and the Philippines. Understand regional variations in data, regulation, and infrastructure. Travel required once per quarter or less.
• Broader Architecture & Integration- Contribute beyond data architecture into cloud architecture, integration patterns, and enterprise services. Support the setup and operation of cloud environments, including IAM, networking, and security.

Key Requirements:

• 10+ years in data architecture, data engineering, or enterprise data roles.
• Minimum 8+ years in Databricks
• Strong exposure to Commercial / Corporate Banking and AML / Financial Crime data domains.
• Experience working in regional APAC environments.

Technical Skills:

• Data Lakehouse architectures (Delta Lake, Iceberg, Hudi).
• Cloud platforms: AWS, Azure, or GCP
• ETL/ELT tools, orchestration frameworks, streaming technologies.
• Data governance, metadata management, lineage tools.- Understanding of AI/ML data integration.
• Strong communication and stakeholder engagement.- Ability to operate in complex, multi-country environments.
• Comfortable leading both engineering-heavy and governance-heavy workstreams.

Why This Role Is Unique

• Regional APAC ownership across six markets.
• Mix of AML domain, cloud transformation, and greenfield data platform build.

Opportunity to shape the data strategy for a major banking client.

Broad architectural scope beyond data - cloud, integration, and enterprise services