Data Architecture Specialist

1 week ago

India beBeeEngineering Full time ₹ 5,00,000 - ₹ 8,00,000

Job Title: Senior Engineering Architect

Overview: We're seeking a seasoned engineering leader to join our team as a Senior Engineering Architect. This role involves driving the design and implementation of large-scale data platforms, mentoring senior engineers, and collaborating with clients to deliver cutting-edge solutions.

Responsibilities:

  • Develop and implement holistic roadmaps for data warehouse offerings.
  • Solve complex data modeling challenges and ensure smooth delivery of features.
  • Apply modern marketing data suites and drive large-scale data initiatives.
  • Lead and mentor top engineering talent.
  • Collaborate with cross-functional teams to drive business-aligned tech roadmaps.

Requirements:

  • 10+ years of experience in Data Engineering, with 4+ years leading teams.
  • Strong coding expertise: Python, JVM, and Shell scripting with production-grade experience.
  • 5+ years in cloud-native, data-intensive applications with mandatory AWS expertise.
  • Proven experience in Data Warehouse design & development using modern DW tools.
  • Hands-on with Databricks and dbt (mandatory).
  • Expert in Airflow (workflow orchestration).
  • Strong experience building & maintaining Spark applications.
  • Deep understanding of file formats: Parquet, Delta Lake, OTFs.
  • Proficiency in building CI/CD pipelines (GitHub Actions, Jenkins, or ArgoCD).
  • Solid knowledge of unit testing & test automation frameworks.

Preferred Skills:

  • Familiarity with Docker/Kubernetes for containerization.
  • Hands-on with IaC tools (Terraform, CDK, or CloudFormation).
  • Exposure to observability systems (Datadog, Prometheus, Grafana).

Soft Skills:

  • Proactive, business-value-oriented mindset.
  • Strong documentation & communication skills.
  • Ability to propose/review architecture and solve complex data models.

Why Join Us?

Benefits:

  • Opportunity to lead and mentor top engineering talent.
  • Chance to build and optimize cutting-edge data platforms with modern cloud-native technologies.
  • Collaborative, innovative, and growth-driven culture.

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