Data Systems Architect

3 days ago

Vijayawada, Andhra Pradesh, India beBeeEngineering Full time ₹ 30,00,000 - ₹ 45,00,000
About the Role

As a Senior Data Engineer, you will play a pivotal role as a technical leader and communicator with stakeholders as part of our data products team. You will contribute directly to the design and development of enterprise-grade data systems while also acting as a bridge between engineering teams and business partners.

Key Responsibilities:
  • Drive development efforts by contributing high-quality, scalable, and maintainable code across data pipelines, APIs, and platform components.
  • Own the communication of project deliverables, timelines, and risks to internal and external stakeholders, ensuring alignment at every step.
  • Understand customer needs and translate them into technical solutions, partnering closely with product, analytics, and engineering teams to deliver end-to-end value.
  • Design and deliver robust and future-proof data architectures that support analytics, APIs, and machine learning initiatives.
  • Lead the technical execution of key projects, ensuring progress is clearly communicated and roadblocks are proactively addressed.
  • Partner cross-functionally to co-develop architectural roadmaps, implementation plans, and go-live strategies that meet business requirements.
  • Participate in stakeholder reviews and provide clear, actionable updates on technical progress, dependencies, and constraints.
  • Guide platform-level optimization, including cost efficiency, performance, reliability, and maintainability.
  • Set best practices for data governance, lineage, quality, and security in a distributed data environment.
  • Mentor engineers, fostering a strong technical culture and continuous learning environment.
Requirements:
  • Proven ability to communicate effectively with both technical and non-technical audiences, including customers, executives, and cross-functional teams.
  • 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, while helping set standards across teams.
  • 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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