Data Architect

Experience Level:

Who We Are

Artefact

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we've acquired with our 1000+ client base around the globe.

We have 850 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

Job Overview

Data Lead

Key Responsibilities

?Design and develop robust, scalable, and secure data architectures that meet business requirements.

(AWS, Azure, and GCP).

?Define and enforce data governance, quality, and security standards.

?Collaborate with data engineers, data scientists, and business stakeholders to understand needs and translate them into technical solutions.

?Evaluate new technologies and tools to improve our data infrastructure and practices.

?Create and maintain detailed documentation of data architecture, data flows, and processes.

?Provide technical leadership and mentorship to junior team members.

• Stay up-to-date with the latest trends and best practices in data architecture and cloud computing.

Qualifications

?Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Overall 10-12 years

?Proven expertise in designing and implementing data solutions on at least one major cloud platform (AWS, Azure, or GCP).

Solid understanding of cloud-native data services such as:

AWS:

Azure:

GCP:

?Experience with big data technologies (e.g., Spark, Hadoop) and data warehousing concepts.

SQL, ETL/ELT processes,

• Excellent problem-solving skills and the ability to work independently as well as part of a team

Preferred Skills

• Experience with

  DevOps practices and tools

  (e.g., CI/CD pipelines, Terraform, Docker, Kubernetes).
• Knowledge of

  data governance tools and practices

*Certifications (Preferred)

GCP)