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Lead Data Architect (Data Warehouse)

Lead Data Architect (Data Warehouse)

SynechronSingapore, Pedra Branca, Singapore
16 days ago
Job description

Direct message the job poster from Synechron

Finding the Best Talent & offering them the Best Opportunities across APAC & Middle East.

Good day,

We have immediate opportunity for Lead Data Architect (Data Warehouse)

Job Role : Lead Data Architect (Data Warehouse)

Experience- 10 Years - 15 Years

Notice Period : Immediate to 30 days.

About Company :

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honoured with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,700+ and has 55 offices in 20 countries within key global markets. 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.

About the job

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 / Data Platform Lead to drive the strategic design, development, and governance of a large-scale Regional Data Platform for a major banking client. This is a renewable contract opportunity.

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.
  • 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.
  • Seniority level

    Seniority level

    Mid-Senior level

    Employment type

    Employment type

    Full-time

    Job function

    Job function

    Information Technology

    Industries

    Technology, Information and Media

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