Technical Architect, Data AI

Overview

Are you passionate about designing and implementing data and AI solutions that can help our customers achieve anything imaginable? Do you have experience with cloud technologies, data platforms, and AI/ML tools in one or more industries? If so, you might be the perfect fit for our Technical Architect role.

As a Technical Architect you will be part of our core consulting team that helps our customers solve problems, tackle projects, and embrace any challenge. You will work with a diverse and specialized team of solution architects, engineers, and analysts to design, develop, and deliver data and AI/ML solutions using platforms such as Microsoft Azure, AWS, Databricks and Snowflake. You will also stay updated on technology and ecosystem trends, especially those related to data, AI and ML.

• Leverage/create approved solution assets to design the specific architecture of data and AI/ML solutions for our customers using technology platforms such as; Microsoft Azure, AWS, Snowflake, and Databricks.
• Ensure solutions are designed with integrity; not violating any copyright, governance or regulatory practices.
• Communicate system requirements and specifications to key stakeholders ensuring a smooth hand-off to delivery teams and customer expectations are met.
• Provide ongoing technical leadership advisory oversight to delivery teams and data consumers.
• Assist with troubleshooting and resolving technical issues when they arise.
• Monitor and optimize the quality, performance and security of data and AI/ML solutions collaborating with solutions architects to vet and incorporate refinements back into the core solution asset base.
• All other job duties as assigned.

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience as a Technical Architect or a similar role in data services within one or more specific industries.
• Hands-on experience with software development and system administration within one or more specific industries.
• Expertise in Microsoft Azure, Snowflake, and Databricks or equivalent cloud technologies, data platforms, and Agentic AI/ML tools.
• Knowledge of data modeling (OLTP & OLAP), data formats (e.g. Avro, Parquet), and data pipelines (e.g. Spark, Airflow).
• Strong knowledge of software engineering principles, design patterns, data structures, testing frameworks, and deployment tools.
• Experience with event streaming platforms (e.g. Kafka) and service-oriented architecture (SOA).
• Excellent communication (internal and client-facing), problem-solving, and organizational skills.
• Ability to work independently or as part of a team.
• Willingness to learn new technologies and adapt to changing customer needs.
• Live our values of "Everyone Matters", "We Take Care of Each Other", "Leadership Is Here To Serve", "High Character And Hard Work Above All Else", and "Always Know Where You Stand.

• We're a professional services company that helps our customers solve problems, tackle projects, and embrace any challenge. Rooted in values, Evergreen is a force of nature that builds and manages diverse, specialized teams helping our customers achieve anything imaginable.
• This role will require approximately 25% travel.