Senior Data & AI Architect

About MojoTech:

MojoTech is an innovative technology consulting firm that integrates strategy, design, data, and software engineering to create results-driven, AI-enabled, digital products and experiences.
We partner with our clients to discover, define, design, and build tomorrow’s innovations, empowering every company to unlock future market potential, maximize returns on innovation, and drive transformational change.
Role Overview
We are looking for a Senior Data & AI Architect to lead client engagements across data architecture, AI delivery, and growth.
This role combines deep data engineering expertise with client leadership. You will work directly with client stakeholders to understand their data needs and design the right architecture. You will build the pipelines and AI solutions that turn raw data into actionable insights, and help grow accounts by building trusted relationships and delivering strong outcomes. You should be comfortable leading technical discussions, guiding clients through technology decisions, and staying hands-on in delivery.
Key Responsibilities
Data & AI Architecture
Design, build, and maintain scalable data pipelines using AWS services (S3, Glue, Lambda, Kinesis, Redshift, Step Functions, etc.) and Python
Implement and optimize large-scale data processing on modern platforms such as Databricks, Snowflake, and AWS
Design and deliver end-to-end models and AI agents, from data preprocessing to deployment and monitoring
Apply Generative AI to data platforms, including LLM integrations and RAG architectures, in production enterprise solutions
Ensure data quality, reliability, and security across the data lifecycle, supported by CI/CD and DevOps practices
Client Engagement
Lead discovery efforts, data maturity assessments, and early-stage solution design
Facilitate architecture discussions with both technical and business audiences
Translate business needs into clear, executable data and AI roadmaps
Sales & Growth
Partner with account and sales leads on proposals, estimates, and solution approaches
Identify follow-on opportunities and clearly articulate the value of proposed solutions
Delivery & Team Leadership
Lead delivery so work stays aligned with goals, timelines, and budget, and flag risks early
Mentor engineers and help evolve our practices around data platforms and AI-enabled systems
Qualifications
You should check many of these boxes:
7+ years of hands-on data engineering experience, with a strong focus on cloud-native solutions
Expert-level proficiency with AWS data services. AWS and Databricks certifications are a significant plus.
Exceptional Python skills for data engineering and automation, plus advanced SQL
Experience with Databricks or Apache Spark and at least one major cloud ML platform (e.g., AWS SageMaker)
Proven experience with workflow orchestration tools (e.g., Airflow, AWS Step Functions)
Solid understanding of data modeling, streaming, and pipeline design patterns
Experience working in consulting, agency, or client-service environments
Track record of client and stakeholder satisfaction
Ability to explain complex technical concepts clearly to non-technical audiences and adapt to diverse client environments
Flexible Working Environment:
We offer a flexible working model, allowing employees to choose between remote work, on-site work in our offices located in Boulder, CO, and Providence, RI, or a hybrid of both. We also welcome candidates based in Phoenix, AZ as we continue to expand our presence in this area.
*This job is remote, but requires you to be located in one of the following states: RI, CO, AZ, CT, FL, MA, MD, ME, MO, NC, NH, NJ, NV, NY, OR, PA, SC, TN or UT. While the role is remote, preference will be given to candidates within commuting distance to our offices in Boulder, CO or Providence, RI.
Benefits:
Base salary $160,000 - $180,000
Medical, Dental, FSA
401k with up to 4% match
Trust-based time off
Catered lunches when in office
Time for self-directed, non-client work
Dog-friendly offices
Remote or in office (offices in Boulder, CO and Providence, RI)
Paid conference attendance/yearly education stipend
Generous family leave policy