Senior Data – AI Architect

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Develop and implement comprehensive data architecture strategies that align with business goals.

• Create scalable, secure, and high-performance data solutions for both cloud and on-premises settings.

• Design AI and machine learning solutions that tackle business challenges and generate measurable benefits.

• Enhance current infrastructure and optimize overall performance.

• Identify areas for efficiency improvements.

• Establish frameworks for data governance, quality, security, and compliance.

• Collaborate with business leaders, engineers, and data scientists to transform complex requirements into actionable solutions.

• Investigate emerging technologies and question existing methodologies.

• Assist teams in staying ahead of technological advancements.

• Provide mentorship to technical colleagues and foster a culture of collaboration, learning, and innovation.

⛳️ Requirements

• Extensive experience in data architecture, data engineering, or enterprise technology architecture, including leadership in large-scale projects.

• Proven experience in designing data platforms utilizing AWS, Azure, or Google Cloud.

• Proficiency in data modeling, SQL, NoSQL, and contemporary database technologies.

• Familiarity with big data technologies such as Apache Spark, Hadoop, or distributed computing frameworks.

• Programming skills in Python, Scala, Java, or similar programming languages.

• Experience in architecting AI and machine learning solutions, including the deployment of models into production environments.

• Strong understanding of data governance, security, quality, and compliance principles.

• Excellent problem-solving abilities.

• Capable of articulating technical concepts clearly to a diverse range of stakeholders.

• Proficient in influencing stakeholders and shaping long-term technology strategies.

🏝️ Benefits

• An inclusive work environment where individuals can compete and succeed based on their own merits.

• A commitment to appreciating applicants and employees for their unique talents.

• A dedication to diversity and non-discrimination.