Chief Architect for Large-Scale Data Systems

5 days ago

Anand, Gujarat, India beBeeData Full time US$ 1,50,000 - US$ 2,50,000
Senior Data Engineer

This role plays a key part in designing and developing large-scale data systems. As a bridge between engineering teams and business partners, you will contribute to the design and development of data pipelines, APIs, and platform components.

Key Responsibilities:
  • Drive development efforts by contributing high-quality, scalable, and maintainable code across data pipelines, APIs, and platform components.
  • Owning project deliverables, timelines, and risks communication with internal and external stakeholders.
  • Understanding customer needs and translating them into technical solutions, partnering closely with product, analytics, and engineering teams.
  • Designing and delivering robust and future-proof data architectures that support analytics, APIs, and machine learning initiatives.
  • Leading technical execution of key projects, ensuring progress is clearly communicated and roadblocks are proactively addressed.
  • Partnering cross-functionally to co-develop architectural roadmaps, implementation plans, and go-live strategies that meet business requirements.
  • Providing clear, actionable updates on technical progress, dependencies, and constraints during stakeholder reviews.
  • Guiding platform-level optimization, including cost efficiency, performance, reliability, and maintainability.
  • Setting best practices for data governance, lineage, quality, and security in a distributed data environment.
  • Mentoring engineers and fostering a strong technical culture and continuous learning environment.
Requirements:
  • Proven ability to communicate effectively with both technical and non-technical audiences.
  • Experience tracking and clearly reporting project progress, milestones, and blockers to internal stakeholders and external partners.
  • Technical depth to personally contribute to codebases and architecture discussions.
  • A proactive and collaborative mindset focused on transparency, stakeholder engagement, and shared ownership of outcomes.
  • Commitment to quality, scalability, and maintainability of systems through thoughtful design and testing.

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