Senior Technical Leader for Data Engineering

7 days ago

Aligarh, Uttar Pradesh, India beBeeEngineering Full time ₹ 3,00,00,000 - ₹ 3,50,00,000
Data Platform Engineering Lead

As a senior technical leader, you will have the opportunity to design and scale the core data foundation behind our enterprise SaaS and AI-driven products.

This role requires a hands-on approach to architecting clean, scalable models, driving data platform strategy, and enabling a high-velocity product development culture. You will own everything from dbt pipelines and PostgreSQL modeling to data quality, data testing, and deployment – while collaborating cross-functionally to make data a strategic advantage.

Key Responsibilities:
  1. Architect, develop, and maintain a robust semantic layer and modular dbt pipelines.
  2. Own schema design, documentation, and data contracts across the analytics and application layer.
  3. Define and enforce data platform best practices, versioning, and governance for all data models.
  4. Implement data testing, observability, and quality automation to ensure confidence at scale.
  5. Guide tool selection and platform evolution across the modern data stack.
  6. Collaborate with engineering, product, and analytics teams to ship reliable data-backed features.
  7. Mentor a growing team of engineers and participate in architecture planning and reviews.
Requirements:
  • Data Engineering & Modeling:
    • 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.
  • Data 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.
  • Enterprise Experience:
    • Good to have: experience with Oracle 12c, Oracle Cloud Infrastructure (OCI), or NetSuite integrations.
    • Familiarity with ERP/financial schema structures (chart of accounts, ledgers, invoicing).
  • 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.
Why this Role Matters:

This is a unique opportunity to join our team and contribute to the success of our organization by shaping the future of data engineering and platform strategy. If you are passionate about technology, data, and innovation, we encourage you to apply for this exciting role.

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