Senior Analytics Engineer: Hybrid AI Data Architect

Motion Recruitment; Boston, Northern (MA, KY); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Motion Recruitment seeks a Senior Analytics Engineer for a contract-to-hire engagement in the higher education space. You will lead analytics data architecture, semantic modeling, and data pipelines using SQL, Python, dbt, Dagster, and AWS.

This role blends analytics engineering, data engineering, and AI to build scalable data products for reporting, ML, and AI-powered apps. You will own complex data initiatives, define engineering standards, architect semantic layers, and develop context for

Qualifications

• 8+ years in analytics engineering or related field.
• Led complex technical projects and data architecture decisions.
• Expert-level SQL and Python.
• Extensive experience with dbt or similar tools.
• Deep understanding of data architecture and semantic layer design.
• Adv. software engineering practices including Git, testing, CI/CD.
• Experience building scalable data pipelines.
• Knowledge of data quality, governance, privacy, and compliance.
• Experience mentoring engineers and guiding technical decisions.
• Strong collaboration with technical and non-technical stakeholders.

Responsibilities

• Lead analytics data architecture and modeling.
• Define enterprise metrics and semantic layers; enable AI-ready interfaces.
• Design and optimize production data pipelines for analytics and ML.
• Establish engineering standards, testing, CI/CD, and governance.
• Mentor engineers and influence analytics/AI strategy across teams.

Skills

SQL

Python

dbt

Dagster

AWS

Data Modeling

Semantic Layer

Data Pipelines

Data Governance

CI/CD

Mentoring

Communication

Education

Bachelor's in CS/IS/DS

Advanced degree preferred

Tools

Apache Iceberg

Trino

Dagster

ETL Tools

Job description

Motion Recruitment seeks a Senior Analytics Engineer for a contract-to-hire engagement in the higher education space. You will lead analytics data architecture, semantic modeling, and data pipelines using SQL, Python, dbt, Dagster, and AWS.

This role blends analytics engineering, data engineering, and AI to build scalable data products for reporting, ML, and AI-powered apps. You will own complex data initiatives, define engineering standards, architect semantic layers, and develop context for