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 Powered by JazzHR