Chief Architect of Data Engineering Solutions

1 week ago

Vizag, Andhra Pradesh, India beBeeDataGovernance Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Job Title:

Senior Data Engineer

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About the Role:

We are seeking a Principal Software Engineer - Data to play a key role as a hands-on technical leader and a key communicator with stakeholders as part of our Data Products team.

This position is primarily focused on driving development efforts, owning project communication, understanding customer needs, designing robust data architectures, leading technical execution, partnering cross-functionally, participating in stakeholder reviews, guiding platform-level optimization, and setting best practices for data governance.

  • Drive development efforts by contributing high-quality, scalable, and maintainable code across data pipelines, APIs, and platform components.
  • Owning the communication of project deliverables, timelines, and risks to internal and external stakeholders, ensuring alignment at every step.
  • Understanding customer needs and translating them into technical solutions, partnering closely with product, analytics, and engineering teams to deliver end-to-end value.
  • Designing and delivering robust and future-proof data architectures that support analytics, APIs, and machine learning initiatives.
  • Leading the 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.
  • Participating in stakeholder reviews and providing 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.

Success in this role requires proven ability to communicate effectively with both technical and non-technical audiences, experience tracking and clearly reporting project progress, technical depth to contribute to codebases and architecture discussions, a proactive and collaborative mindset, and commitment to quality, scalability, and maintainability of systems.

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About You:

We are looking for a candidate with 10-20 years of development experience in data engineering, advanced skills in Python and/or Golang, SQL, and current cloud data platforms, strong experience in communicating complex project plans and deliverables, track record of developing and operating scalable data pipelines, APIs, and data platform components, experience working directly with external stakeholders or customers, deep understanding of batch and real-time data architectures, data modeling, and data warehousing, hands-on experience with cloud-native ecosystems, containerization & deployment, data integration and orchestration, messaging, analytics & BI, AI/ML, cloud storage integration, proficiency in setting up data observability, quality frameworks, and governance controls, and strong ability to translate ambiguous business needs into scoped, deliverable projects.

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