Overview
The Data & AI Platform Engineer builds the foundational data infrastructure that powers analytics and AI at scale.
This role ensures data is reliable, governed, and readily available to fuel machine learning and generative AI workloads.
Your Role and Responsibilities
What You’ll Do
Key Responsibilities
- Design and build scalable data pipelines and ingestion frameworks.
- Develop and maintain data lakes, warehouses, and feature stores.
- Enable AI/ML workloads with clean, well-governed, AI-ready data.
- Implement data quality, lineage, and governance controls.
- Optimize pipelines for performance, reliability, and cost.
- Partner with data scientists and AI engineers on data needs.
REQUIREMENTS
What This Role Requires
Education
- Bachelor’s degree in Computer Science, Data Engineering, or a related field.
Experience
- 4+ years in data engineering or platform engineering.
- Experience supporting analytics or ML workloads at scale.
Technical Skills
- Strong SQL and Python skills.
- Experience with modern data stack (Spark, dbt, Airflow,
Snowflake/BigQuery/Databricks). - Familiarity with streaming (Kafka) and cloud data services.
- Knowledge of data modeling, governance, and vector/embedding stores.
Soft Skills
- Strong analytical and problem-solving skills.
- Attention to data quality and detail.
- Collaborative and service-oriented mindset.
- Proactive about scalability and best practices.
Working at Motivus
What Working Here Looks Like
- Guild community: You’re part of the [Data & AI / Backend / Cloud] Guild — a community of practitioners in your domain. Structured learning, peer review, and certifications happen here, not in isolation.
- Outcome accountability: Your work connects directly to a client result. We don’t measure activity — we measure delivery.
- AI in your workflow: Through AI Champions and Guild initiatives, you’ll actively use and shape how AI tools are applied to engineering work — not just hear about it in a townhall.
- Defined career path: Structured progression from individual contributor to technical lead to Guild leadership, with certifications and milestones that are visible, not arbitrary.
