Principal Architect

2 days ago

Amrāvati, Maharashtra, India beBeeDataScientist Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Senior Data Engineer

About this role:

This Senior Data Engineer plays a key role in driving the development of enterprise-grade data systems.

The ideal candidate will be a hands-on technical leader who can effectively communicate with stakeholders and contribute to project deliverables.

The primary responsibilities include:

  • Designing and developing scalable, maintainable code for data pipelines, APIs, and platform components.
  • Owning communication of project timelines, risks, and deliverables to internal and external stakeholders.
  • Translating customer needs into technical solutions through collaboration with product, analytics, and engineering teams.
  • Leading technical execution of key projects and ensuring clear communication of progress and roadblocks.
  • Participating in stakeholder reviews and providing actionable updates on technical progress, dependencies, and constraints.

Success requires proven ability to communicate with technical and non-technical audiences, experience tracking project progress, technical depth to personally contribute to codebases, and a proactive mindset focused on transparency and stakeholder engagement.

About you:

To excel in this role, you'll need:

  • 10-20 years of development experience in data engineering with direct contribution to 24x7 production systems.
  • Advanced skills in Python or Golang, SQL, and cloud data platforms (e.g., Databricks, BigQuery, Snowflake).
  • Strong experience in communicating complex project plans and deliverables to technical and business audiences.
  • 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 (GCP, AWS, Azure), CI/CD pipelines, and infrastructure as code.

Favorable skills include exceptional communication skills, ability to distill complex data challenges, experience in client-facing roles, and a strong personal track record of hands-on coding and technical design.

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