Data Systems Architect

1 day ago

Palakkad, Kerala, India beBeeEngineering Full time ₹ 1,40,00,000 - ₹ 2,15,00,000
Job Description

As a hands-on Data Platform Engineering Lead, you will be responsible for architecting and scaling the core data foundation behind our enterprise SaaS and AI-driven products.

You will lead the design of clean, scalable models, drive data platform strategy, and enable a high-velocity product development culture.

Our team requires an experienced professional with a deep understanding of data engineering principles and practices. The successful candidate will have expertise in designing and maintaining normalized and dimensional data models, as well as advanced knowledge of dbt (macros, packages, tests, modularization, docs).

  • Architect, develop, and maintain a robust semantic layer and modular dbt pipelines
  • Own schema design, documentation, and data contracts across the analytics and application layer
  • Define and enforce data platform best practices, versioning, and governance for all data models
  • Implement data testing, observability, and quality automation to ensure confidence at scale
  • Guide tool selection and platform evolution across the modern data stack
  • Collaborate with engineering, product, and analytics teams to ship reliable data-backed features
  • Mentor a growing team of engineers and participate in architecture planning and reviews
Required Skills & Qualifications

To be considered for this role, candidates must possess:

Technical Skills:
  • 10+ years of experience in backend or data engineering roles
  • Deep experience designing and maintaining normalized and dimensional data models
  • Advanced expertise in dbt (macros, packages, tests, modularization, docs)
  • Expert in SQL, with a focus on PostgreSQL
  • Strong Python scripting for transformation logic and automation
Infrastructure & Tooling:
  • Proven experience with tools in the modern data stack, including:
  • dbt (Cloud or Core)
  • PostgreSQL (primary engine)
  • Airflow, Dagster, or Prefect for orchestration
  • Great Expectations or dbt tests for data quality
  • Fivetran, Airbyte, or custom loaders for ingestion
  • GitHub Actions, GitLab CI, or CircleCI for CI/CD
  • Terraform or IaC for platform provisioning (Snowflake, dbt Cloud, PostgreSQL configs)
  • Optional: Monte Carlo, Atlan, DataHub, or other metadata/lineage platforms
Leadership & Communication:
  • 6+ years in engineering leadership, architecture, or tech lead roles
  • Excellent collaboration skills across engineering, product, and analytics
  • Strong communicator—can author technical documentation and explain system tradeoffs

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