Enterprise Data and AI / ML Architect - REMOTE

Calabitek; Texas; Remote; USD 120,000 - 160,000; Full time

Job summary

A forward-thinking company is seeking an Enterprise Data and AI/ML Architect to lead the design and architecture of innovative Data Platforms. This role involves collaborating with engineering teams to develop and deploy machine learning models that enhance digital experiences across various systems, including E-Commerce and Digital Marketing. The ideal candidate will have extensive experience in cloud technologies, data engineering practices, and a passion for creating user-facing solutions. Join a dynamic team that values innovation, expertise, and teamwork, and contribute to shaping the future of technology in the digital landscape.

Qualifications

• 7+ years of experience as an Enterprise Architect focusing on Data Platforms.
• Expertise in AI and ML for digital experiences and E-Commerce.

Responsibilities

• Lead architecture and design of Data Platforms for AI/ML solutions.
• Collaborate with teams to translate business problems into ML solutions.

Skills

Machine Learning Operations (ML-Ops)

Data Engineering Practices

Object-Oriented Programming

Digital Marketing Tools

E-Commerce Platforms

Cloud Technologies

Microservices Architecture

REST Services

Data Democratization

Feature Engineering

Education

Bachelor's Degree

Master's Degree

Tools

Azure DataBricks

Dataiku

Docker

Kubernetes

Google Cloud

Job description

As an Enterprise Data and AI / ML Architect, you will be responsible for leading the architecture and design of the Data Platform and leveraging it for AI / ML solutions. Reporting to the Director of Architecture, you will:

1. Lead the architecture and design of business and technical initiatives related to Data Platforms and their use in AI / ML across various systems and applications, including Ecommerce (Search, Browse, Cart, Checkout), Web / Mobile, Digital Marketing, and Retail Systems.
2. Design and oversee pipelines for data ingestion, transformation, and feature engineering.
3. Define scalable data and AI / ML architecture across structured, semi-structured, and unstructured Data Sources.
4. Collaborate with engineering teams to translate business problems into ML solutions, guiding the development and deployment of ML models from experimentation to production.
5. Possess good knowledge and prior experience with ML-Ops, model deployment, monitoring, and version control.
6. Have a solid understanding of organizational practices in Data engineering, including Data democratization, Data Mesh approaches, and creation of Data Products.
7. Ideally, have experience with Azure DataBricks, Dataiku, and cloud database technologies.
8. Demonstrate alignment with Sephora values such as Passion for Client Service, Innovation, Expertise, Balance, Respect for All, Teamwork, and Initiative.

We're excited about you if you have / are:

1. Extensive knowledge and proven experience with Digital, E-Commerce, and Web technologies and tools (E-Commerce Platforms, Digital Marketing Tools, Search, Personalization).
2. Good foundational understanding of how the internet and web work.
3. Object-oriented programming skills.
4. Experience with RDBMS and modern NoSQL database designs and querying languages.
5. Experience with Microservices and REST services.
6. Expertise in E-Commerce, Digital domains, Personalization, and related technologies.
7. Good knowledge or exposure to Digital Marketing tools and technologies.
8. Extensive experience supporting large-scale E-Commerce and Digital presence.
9. Architecting modern architectures based on Cloud and Microservices.
10. Experience with next-generation technologies such as AI and ML for digital experiences and capabilities.
11. Experience with one or more public clouds (Azure, AWS, GCP).
12. Experience with modern microservices architecture using Service Mesh, API Gateways, and native cloud technologies (Docker, Kubernetes).
13. Ability to engage and collaborate effectively with cross-functional teams and deep dive into technical specifics.
14. Passion for creating quality business and user-facing solutions and living for face-to-face interactions to develop strategies and solutions.
15. Interest in leveraging existing and new technologies to shape Sephora's technological future.
16. Bachelor's degree (Master's preferred).
17. 7+ years of experience as an Enterprise Architect.
18. 10+ years of experience with Data Platforms and in the E-Commerce space.

Note: The hiring plan involves hiring someone capable of end-to-end responsibilities in data and AI / ML, with experience in Azure Databricks and familiarity with Google Cloud marketing data. The role emphasizes data technologies over Java background. The interview process includes more than three interviews.