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 seeking a highly skilled and experienced Data & AI Architect to join our expanding team. In this role, you will be a key architect and builder of robust, scalable, and efficient data pipelines using AWS services, Python, and AI Frameworks. You will work directly with clients to understand their data needs, design optimal data architectures, and implement solutions that transform raw data into actionable insights, driving critical business decisions. This is a hybrid position, allowing flexibility to work remotely while also supporting in-office collaboration as needed.

Responsibilities:

• Design, develop, and maintain scalable data pipelines using AWS services (S3, Glue, Lambda, Kinesis, Redshift, Step Functions, etc.) and Python.
• Design, develop, and implement end-to-end models and AI agents, from data preprocessing to deployment and monitoring
• Implement and optimize large-scale data processing solutions using modern data platforms, for example Databricks, Snowflake, AWS for various client use cases.
• Collaborate closely with product managers, engineers, and business stakeholders to understand data consumption requirements and deliver high-quality data products.
• Ensure data quality, reliability, and security throughout the data lifecycle.
• Apply Generative AI concepts to data platforms for integration with LLMs, RAG architectures, and their practical application in enterprise solutions.
• Implement CI/CD pipelines and integrate data solutions into broader DevOps practices.
• Provide technical leadership and mentorship within project teams.

Desired Skills & Experience:

• 7+ years of hands-on experience in data engineering, with a strong focus on cloud-native solutions.
• Expert-level proficiency with AWS data services and best practices. AWS and Databricks certifications are a significant plus.
• Exceptional Python programming skills for data engineering and automation.
• Experience with Databricks or Apache Spark for big data processing.
• Experience with at least one major cloud ML platform, eg AWS Sagemaker
• Advanced SQL capabilities for data manipulation, querying, and optimization.
• Proven experience with workflow orchestration tools (e.g., Airflow, AWS Step Functions).
• Solid understanding of data modeling principles and pipeline design patterns.
• Familiarity with modern DevOps practices and CI/CD for data solutions.
• Excellent problem-solving skills and the ability to translate complex technical concepts into clear explanations for non-technical audiences.
• A strong desire to learn new technologies 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 $130,000 - $170,000
• 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