Senior Data Scientist: Data Mesh & AI-Driven Data Products

Aimlroles; Town of Saranac (NY); On-site; USD 133,000 - 251,000; Full time

Job summary

Ford Motor Company is seeking a strategic Data Mesh Architect to design and evolve a scalable data mesh across manufacturing and enterprise domains. You will define domain boundaries, data product contracts, and interoperability standards to enable trusted data for AI and analytics.

You will also lead governance, lineage, and quality initiatives, drive cloud-native modernization using GCP, and shepherd data pipelines from ingestion to publishing with strong collaboration across product and

Qualifications

• Master’s degree or equivalent combination of education and experience.
• 5+ years in data architecture/engineering with large-scale environments.
• Hands-on experience with data modeling and data mesh concepts.

Responsibilities

• Design and evolve Ford's data mesh architecture across domains.
• Establish federated governance policies for data quality, security, and lineage.
• Build and govern data products from raw data to curated assets.
• Lead ingestion, transformation, and publishing pipelines (batch/stream).
• Create semantic layers and ontologies to support AI agents.

Skills

Data mesh

GCP expertise

Data modeling

SQL

Python

Data pipelines

Knowledge graphs

Data quality

Stakeholder mgmt

AI/ML concepts

Education

Master’s degree in computer science, Information Systems, Data Engineering, or related field

Tools

BigQuery

Cloud Storage

Dataform

Data Fusion

Astronomer

Vertex AI

Job description

Ford Motor Company is seeking a strategic Data Mesh Architect to design and evolve a scalable data mesh across manufacturing and enterprise domains. You will define domain boundaries, data product contracts, and interoperability standards to enable trusted data for AI and analytics.

You will also lead governance, lineage, and quality initiatives, drive cloud-native modernization using GCP, and shepherd data pipelines from ingestion to publishing with strong collaboration across product and