Senior Data & AI Architect — Remote, Flexible & Impactful

MojoTech; Elm (PA); Remote; USD 160,000 - 180,000; Full time

Benefits offered by this job

Medical, Dental, FSA

Remote or in-office

401k with 4% match

Trust-based time off

Family leave policy

Conference attendance stipend

Job summary

MojoTech is seeking a Senior Data & AI Architect to lead data architecture, AI delivery, and growth across client engagements. You will design scalable pipelines on AWS, implement Databricks-based solutions, and deliver end-to-end AI models. Strong client leadership and hands-on delivery are essential.

You will collaborate with stakeholders to translate business needs into actionable roadmaps, mentor engineers, and help grow accounts while maintaining high data quality and security standards.

Qualifications

• 7+ years of hands-on data engineering experience with cloud-native solutions.
• Expert-level AWS data services and Databricks/ Spark experience.
• Strong Python, SQL skills and data modeling capabilities.
• Experience with orchestration tools (Airflow, Step Functions).
• Consulting or client-service background with strong communication.

Responsibilities

• Design, build, and lead data architectures and AI delivery for clients.
• Develop scalable data pipelines on AWS and Databricks platforms.
• Create end-to-end AI models and agent solutions with MLOps practices.
• Guide clients through architecture decisions and deliverables.
• Grow accounts by delivering measurable outcomes and trusted relationships.

Skills

AWS data services

Python

SQL

Databricks

Apache Spark

Airflow

Data modeling

Consulting experience

Communication

Tools

Databricks

Spark

Airflow

SageMaker

Step Functions

Job description

MojoTech is seeking a Senior Data & AI Architect to lead data architecture, AI delivery, and growth across client engagements. You will design scalable pipelines on AWS, implement Databricks-based solutions, and deliver end-to-end AI models. Strong client leadership and hands-on delivery are essential.

You will collaborate with stakeholders to translate business needs into actionable roadmaps, mentor engineers, and help grow accounts while maintaining high data quality and security standards.