Lead Data Architect

Job description

Experience Level : 8+ Years

Who We Are

Artefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we're enjoying skyrocketing growth.

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

We're looking for an experienced and dynamic Data Lead to drive the full lifecycle of our data engineering solutions, from strategic design to hands-on implementation. In this key role, you will be a hands-on architect, building secure and scalable data platforms while mentoring our engineering teams.

Key Responsibilities

• Design and develop robust, scalable, and secure data architectures that meet business requirements.
• Lead the implementation of data solutions on various cloud platforms (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

○ AWS : Redshift, S3, Glue, Athena, and EMR.

○ Azure : Synapse Analytics, Data Lake, Data Factory, and Databricks.

○ GCP : BigQuery, Cloud Storage, Dataflow, and Dataproc.

Preferred Skills

Relevant certifications such as Professional Cloud Architect(GCP) Data Architect, Certified Data Management Professional ( CDMP), AWS Certified Solutions Architect, Microsoft Certified : Azure Data Engineer, Google Professional Data Engineer )or similar credentials.

Skills Required

Aws Redshift, Gcp, Hadoop, Azure Synapse Analytics, Spark, Azure, Sql, Aws, ELT, Etl