Cloud Data AI Architect

eTeam; Town of Texas (WI); On-site; USD 140,000 - 200,000; Full time

Job summary

eTeam is seeking an experienced Cloud Data & AI Architect to design and implement scalable cloud-based data and AI solutions for enterprise platforms.

The role requires hands-on expertise across cloud platforms (AWS/Azure/GCP), Data Lakes/Warehouses, and modern data tooling, with a focus on governance, security, and scalability.

Qualifications

• Typically 10+ years of IT experience in cloud, data architecture, data engineering and AI/ML solutions.
• Experience designing enterprise-scale cloud and data solutions.
• Strong communication and client-facing skills.

Responsibilities

• Design end-to-end Cloud Data & AI architecture for enterprise applications.
• Lead architecture reviews, solution design and PoC activities.
• Define data governance, security, metadata management, and data quality standards.
• Architect data lakes, data warehouses, lakehouse, and data mesh.
• Design data ingestion, transformation, integration and analytics pipelines.

Skills

Data Architect

Cloud Architect

Data & AI Architect

Solution Architect

Databricks

Snowflake

Spark

Kafka

Python

SQL

LLMs

RAG

vector databases

Education

Bachelor's or Master's in CS/Engineering/DS/IT

Tools

Databricks

Snowflake

Spark

Kafka

Python

SQL

APIs

Job description

Job Title: Cloud Data & AI ArchitectRole Summary

We are looking for an experienced Cloud Data & AI Architect to design and implement scalable cloud-based data and AI solutions. The ideal candidate should have strong experience in cloud architecture, data engineering, data platforms, Generative AI, machine learning, and enterprise architecture.

Key Responsibilities

• Design end-to-end Cloud Data & AI architecture for enterprise applications and platforms.
• Build scalable data solutions using AWS, Azure, or Google Cloud Platform (GCP).
• Architect modern Data Lakes, Data Warehouses, Lakehouse, and Data Mesh solutions.
• Design data ingestion, transformation, integration, and analytics pipelines.
• Work with technologies such as Databricks, Snowflake, Spark, Kafka, and cloud-native data services.
• Design and implement AI/ML and Generative AI solutions using LLMs.
• Develop architecture for RAG, vector databases, AI agents, and enterprise GenAI applications.
• Define data architecture, governance, security, quality, and integration standards.
• Work with business and technical stakeholders to understand requirements and convert them into architecture solutions.
• Lead technical discussions, architecture reviews, solution design, and proof-of-concept activities.
• Evaluate new Data & AI technologies and recommend appropriate solutions.
• Provide technical leadership to data engineers, AI/ML engineers, developers, and other architecture teams.
• Ensure solutions meet requirements for scalability, performance, security, reliability, and cost optimization.

Required Skills

• Strong experience as a Data Architect, Cloud Architect, Data & AI Architect, or Solution Architect.
• Strong hands-on knowledge of at least one cloud platform: AWS / Azure / GCP.
• Experience with Databricks and/or Snowflake.
• Strong understanding of Data Lake, Data Warehouse, Lakehouse, ETL/ELT, and data pipelines.
• Experience with Spark, Kafka, Python, SQL, APIs, and distributed data processing.
• Knowledge of Machine Learning, Generative AI, LLMs, RAG, embeddings, and vector databases.
• Understanding of data governance, security, metadata management, and data quality.
• Experience designing enterprise-scale cloud and data solutions.
• Strong communication and client-facing skills.

Preferred Skills

• Cloud certifications in AWS, Azure, or GCP.
• Databricks or Snowflake certification.
• Experience with Azure OpenAI, AWS Bedrock, Google Vertex AI, OpenAI models, or similar AI platforms.
• Experience with MLOps / LLMOps and AI model deployment.
• Experience working in large enterprise environments and leading architecture discussions.

Experience

Typically 10+ years of overall IT experience, including significant experience in cloud, data architecture, data engineering, and AI/ML solutions.

Education

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Information Technology, or a related field.