Senior Data & AI Architect — Remote, Lead Data Platforms

MojoTech; Central City (CO); Hybrid; USD 160,000 - 180,000; Full time

Benefits offered by this job

Salary range: $160,000-$180,000

Medical & Dental

401k with match

Time off

Dog-friendly offices

Conference attendance stipend

Education stipend

Family leave

Job summary

MojoTech is seeking a Senior Data & AI Architect to lead data architecture, AI delivery, and growth across client engagements. You will design and implement scalable data pipelines on AWS, apply Generative AI to data platforms, and guide clients through technology decisions while remaining hands-on in delivery.

You will mentor engineers, lead discovery and data-maturity assessments, and collaborate with account teams on proposals and opportunities.

Qualifications

• 7+ years of hands-on data engineering experience with a strong focus on cloud-native solutions.
• Expert-level proficiency with AWS data services and Databricks/Spark.
• Excellent Python skills for data engineering and automation, plus strong SQL.
• Experience with workflow orchestration tools (Airflow, AWS Step Functions) and cloud ML platforms (AWS SageMaker).
• Proven ability in consulting environments with client and stakeholder satisfaction.

Responsibilities

• Design, build, and maintain scalable data pipelines on AWS (S3, Glue, Lambda, Kinesis, Redshift) and Python.
• Deliver end-to-end AI/ML models and agents, from data prep to deployment and monitoring.
• Lead client engagements, assess data maturity, and translate needs into actionable roadmaps.
• Mentor engineers and help evolve data platforms and AI-enabled systems, managing risks and timelines.

Skills

AWS data services

Python for data engineering

SQL

Databricks / Spark

Airflow / orchestration

Data modeling

Client communication

Consulting experience

Team leadership

Tools

Databricks

Apache Spark

Airflow

AWS Step Functions

AWS SageMaker

Job description

MojoTech is seeking a Senior Data & AI Architect to lead data architecture, AI delivery, and growth across client engagements. You will design and implement scalable data pipelines on AWS, apply Generative AI to data platforms, and guide clients through technology decisions while remaining hands-on in delivery.

You will mentor engineers, lead discovery and data-maturity assessments, and collaborate with account teams on proposals and opportunities.