Data Architect

Experience Level:

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 were 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 weve 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 are seeking a highly experienced and versatile Data Architect with over 10 years of experience. This role requires deep expertise in data architecture and data engineering, along with exceptional client management and team leadership skills. The ideal candidate will be both strategic and hands-on able to lead complex data initiatives, mentor teams, manage client relationships, and directly contribute to the design and implementation of scalable data solutions.

Key Responsibilities

1.Enterprise Data Strategy & Client Engagement:

• Develop and maintain a comprehensive data architecture strategy that aligns with organizational and client business objectives.
• Serve as a key technical advisor for clients, translating business requirements into innovative data solutions.
• Build and maintain strong client relationships by providing expert guidance and managing expectations throughout project lifecycles.

2.Data Modeling, Design & Engineering:

• Design and optimize both logical and physical data models to support enterprise-wide systems.
• Architect data warehousing solutions, overseeing the integration of data from multiple sources to enable robust business intelligence and analytics.
• Directly develop, test, and implement ETL processes and data pipelines, ensuring data quality, consistency, and performance.

3.Technology Evaluation & Implementation:

• Evaluate emerging data technologies and tools to determine their fit within the existing architecture and potential for future scalability.
• Oversee the integration of new technologies into the enterprise data architecture, balancing innovation with risk management.

4.Team Leadership & Hands-On Management:

• Lead cross-functional teams, providing mentorship and technical guidance to junior data engineers and architects.
• Maintain a hands-on approach by actively participating in coding, design sessions, and troubleshooting complex data issues.
• Ensure project milestones are met through effective resource management and team coordination.

5.Performance, Security & Best Practices:

• Optimize data storage, retrieval, and processing performance across various systems.
• Collaborate with security teams to enforce data governance, compliance, and privacy standards.
• Establish and promote best practices in data management, data engineering, and architecture design.

6.Documentation & Reporting:

• Develop and maintain comprehensive documentation covering data architecture designs, data flows, integration processes, and project status.
• Provide regular updates and reports to both internal stakeholders and clients on project progress and system performance.

Required Qualifications

1.Education:

2.Experience:

• 10+ years of experience in data architecture, data engineering, or related roles.
• Proven experience in designing and implementing enterprise-level data solutions with a hands-on technical approach.
• Demonstrated track record of managing client relationships and leading technical teams.

3.Technical Skills:

• Expertise in data modeling, data warehousing, and database design (both relational and NoSQL).
• Strong proficiency in data engineering, including experience with ETL tools, data integration frameworks, and big data technologies.
• Hands-on experience with Google Cloud data platform and modern data processing frameworks.
• Familiarity with scripting and programming languages (e.g., Python, SQL,) to support hands-on development and troubleshooting.
• Experience with data governance frameworks & solutions ( Informatica, Collibra, Purview etc)

4.Soft Skills:

• Exceptional client management and communication skills, with the ability to interact confidently with both technical and non-technical stakeholders.
• Proven team management and leadership abilities, including mentoring, coaching, and project management.
• Strong analytical and problem-solving skills with a proactive, detail-oriented approach.
• Ability to work collaboratively in a fast-paced, dynamic environment while driving multiple projects to successful completion.

5.Certifications (Preferred):