Principal Data Architect – Greenfield Data Platform

Gather AI; United States; Remote; USD 180,000 - 260,000; Full time

Job summary

Gather AI is hiring a Principal Data Engineer to architect a data platform from the ground up, separating analytics from live production, and building a semantic metrics layer. You’ll ensure traceability, define metrics once, and support multiple product lines including drone imagery integration.

You will collaborate across engineering, product, and leadership to scale data infrastructure, drive data quality, and enable self-service analytics for internal teams and stakeholders.

Qualifications

• Over 10 years in data engineering or closely related field.
• Proven experience building greenfield data warehouse and OLTP→OLAP transition.
• Deep expertise in multi-layer transformation architectures and reusable frameworks.

Responsibilities

• Architect a greenfield, multi-layer data warehouse (raw, refined, serving).
• Deliver a governed, self-service data-access layer for internal consumers (Product, CSM, Deployment/Operations, Leadership).
• Build a semantic/metrics layer with consistent definitions across dashboards and products.
• Own data-ingestion correctness at the boundary with the integration/backend team.
• Stand up a data catalog and lineage layer (Purview or DataHub) for data ownership and traceability.
• Prove end-to-end foundation on drone product, then generalize for other products.
• Act as connective tissue between product and ML, linking structured data to drone imagery with traceability.

Skills

Data engineering

Data platform architecture

SQL

dbt

Azure

Governance

Multi-tenant

Streaming data

ETL/ELT

Cloud architecture

Education

Bachelor's degree in CS/Engineering

Tools

Purview

DataHub

dbt

Airflow

Azure

Job description

Gather AI is hiring a Principal Data Engineer to architect a data platform from the ground up, separating analytics from live production, and building a semantic metrics layer. You’ll ensure traceability, define metrics once, and support multiple product lines including drone imagery integration.

You will collaborate across engineering, product, and leadership to scale data infrastructure, drive data quality, and enable self-service analytics for internal teams and stakeholders.