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Lead Enterprise Data Architect

2 weeks ago

Singapore beBeeData Full time

Seeking a seasoned Managing Architect to lead the strategic design and architectural oversight of enterprise data platforms. This senior leadership role will be responsible for defining our data architecture vision, setting technical standards, guiding complex architectural decisions, and mentoring a team of data architects and principal engineers.


Requirements:
  • Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related quantitative field.
  • 10+ years of progressive experience in data engineering, software engineering, or related fields, with at least 5+ years in a lead architect or principal architect role for large-scale data platforms.
  • Proven experience as a Managing Architect, Chief Architect, or equivalent senior architectural leadership position, with a track record of successfully defining and implementing enterprise-level data architectures.
Responsibilities:
  • Designing, building, and operating highly scalable, resilient, and secure data solutions in a cloud-native environment (AWS, Azure, or GCP).
  • Leading and mentoring senior technical individual contributors.
  • Driving new architectural initiatives while managing technical debt.
Technical Expertise:
  • Cloud Platforms: Expert-level proficiency and hands-on experience with core data services across at least one major cloud provider.
  • Big Data Technologies: Mastery of distributed processing frameworks and real-time streaming technologies.
  • Data Warehousing/Lakes/Lakehouse: In-depth expertise in designing and optimizing modern data warehousing, data lake, and data lakehouse architectures.
  • Data Modeling: Expert knowledge of various data modeling techniques for analytical and operational systems.
  • ETL/ELT & Orchestration: Deep experience with advanced ETL/ELT patterns and orchestration tools.
  • Data Governance & Security: Proven experience in implementing robust data governance, data quality, data lineage, metadata management, and data security frameworks.
  • DevOps & MLOps: Strong understanding of CI/CD, IaC (Terraform, CloudFormation), and MLOps principles as applied to data platforms.
Working with Us:
  • A culture that values authenticity and diversity of thoughts and backgrounds.
  • An inclusive and respectable environment with open workspaces and exciting start-up spirit.
  • Fast-growing company with opportunities for professional growth and development.
  • Attractive welfare benefits and developmental opportunities such as training and mentoring.