DBT Labs Architect With Lakehouse Exp.

Overview

Remote
Depends on Experience
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

DBT Labs Architect
Lakehouse

Job Details

dbt Labs Architect to design and implement modern data transformation solutions using dbt Cloud within an Open Lakehouse Architecture. Deep knowledge of analytics engineering principles, data modeling, and open-source lakehouse technologies (Apache Iceberg, Delta Lake, Hudi) to enable scalable, governed, and high-performing data platforms

Skills: -

  • dbt Cloud deployment and configuration
  • SQL proficiency and analytics engineering principles.
  • Open Lakehouse frameworks (Iceberg, Delta Lake, Hudi).
  • Query federation tools (Starburst, Trino).
  • DevOps and CI/CD Framework(s)

Good to have skills: -

  • Python for analytics workflows.
  • Familiarity with Orchestration Services and Google Cloud Platform services

Responsibilities: -

dbt Labs Architect to design and implement modern data transformation solutions using dbt Cloud within an Open Lakehouse Architecture. Deep knowledge of analytics engineering principles, data modeling, and open-source lakehouse technologies (Apache Iceberg, Delta Lake, Hudi) to enable scalable, governed, and high-performing data platforms

Solutioning & Architecture Design:

  • Architect dbt-based transformation layers for Open Lakehouse environments.
  • Define data modeling strategies, semantic layers, and CI/CD pipelines for analytics workflows.
  • Ensure schema evolution and data governance across Lakehouse tables.

Integration with Modern Data Stack:

  • Work with query engines (Trino, Presto, Starburst) and object storage (GCS, S3).
  • Optimize dbt workflows for Iceberg, Delta Lake, or Hudi tables.

Performance & Scalability:

  • Implement incremental models, materializations, and partitioning strategies for large-scale datasets.

Collaboration & Enablement:

  • Partner with data engineers, BI teams, and data scientists to deliver self-service analytics.
  • Conduct workshops and best practice sessions for dbt adoption.

Governance & Compliance:

  • Ensure data quality, lineage tracking, and metadata management using dbt and lakehouse tools

Technical Expertise:

  • Hands-on experience with dbt Cloud and analytics engineering principles.
  • Strong SQL skills and familiarity with Jinja templating.
  • Experience with Open Lakehouse frameworks (Apache Iceberg, Delta Lake, Hudi).
  • Knowledge of query federation tools (Starburst, Trino)

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