Lead Data Architect
Singapore
Synechron
Synechron is an innovative global consulting firm delivering industry-leading digital solutions to transform and empower businesses.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.
SYNECHRON’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.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow APIs Architecture AWS Azure Banking Computer Science Consulting Consulting firm Databricks Data governance Data quality dbt DevOps ELT Engineering ETL GCP Hadoop Kafka Machine Learning Microservices Pipelines Privacy Security Snowflake Spark
Perks/benefits: Career development Equity / stock options
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