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Senior Data Engineering Architect Lead

2 weeks ago

Singapore beBeeData Full time $150,000 - $250,000
About the Role:

We are seeking a seasoned Managing Architect of Data Engineering to lead the strategic design and architectural oversight of our 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.

This is an exceptional opportunity to leverage your expertise in modern data stacks, scalable data solutions, and exceptional leadership skills to drive architectural excellence across the organization.



Responsibilities:
  • Leverage deep technical expertise in modern data stacks to design and implement highly scalable, resilient, and secure data solutions
  • Set technical standards and guide complex architectural decisions to ensure alignment with business goals
  • Mentor a team of data architects and principal engineers to foster innovation and a culture of continuous improvement
  • Manage technical debt while driving new architectural initiatives to ensure long-term success


Requirements:
  • 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
  • Expert-level proficiency and hands-on experience with core data services across at least one major cloud provider (e.g., AWS, Azure, or GCP)
  • Mastery of distributed processing frameworks (e.g., Apache Spark) and real-time streaming technologies (e.g., Apache Kafka, Flink)
  • In-depth expertise in designing and optimizing modern data warehousing, data lake, and data lakehouse architectures (e.g., Snowflake, Databricks Lakehouse Platform, Redshift, Synapse Analytics)


Benefits:

The ideal candidate will experience working in a fast-growing company that values authenticity and diversity of thoughts and backgrounds, has inclusive workspaces and start-up spirit, offers attractive welfare benefits, developmental opportunities such as training and mentoring, personal accountability, autonomy, fast growth, and learning opportunities.