AI & Data Engineering Architect/Remote
Posted 1 day ago by Apetan Consulting
Negotiable
Undetermined
Remote
Remote
Summary: The AI & Data Engineering Architect role involves designing and leading scalable data and AI solutions, focusing on building modern data platforms and integrating AI/ML capabilities into business applications. The position requires collaboration with various stakeholders to ensure data quality and compliance while optimizing performance and cost. This is a full-time remote position aimed at experienced professionals in the field.
Key Responsibilities:
- Design and implement end-to-end data architecture and AI solutions.
- Define data pipelines, data models, and data governance frameworks.
- Lead development of scalable data platforms (data lakes, warehouses, lakehouses).
- Architect and deploy AI/ML models in production environments.
- Collaborate with data engineers, data scientists, and business stakeholders.
- Select appropriate tools, technologies, and frameworks for data and AI initiatives.
- Ensure data quality, security, and compliance standards are met.
- Guide teams on best practices for data engineering and MLOps.
- Optimize performance, scalability, and cost of data systems.
Key Skills:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- Strong expertise in data platforms (SQL/NoSQL databases, data lakes, warehouses).
- Experience with cloud platforms (AWS, Azure, or Google Cloud Platform).
- Knowledge of ETL/ELT pipelines and big data technologies (Spark, Hadoop).
- Experience with AI/ML frameworks (TensorFlow, PyTorch, or similar).
- Strong programming skills (Python, SQL, or Scala).
- Experience with data modeling, governance, and security.
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Job Title: AI & Data Engineering Architect
Location: Remote
Employment Type: Full-time
Role Overview
We are looking for an experienced AI & Data Engineering Architect to design and lead scalable data and AI solutions. This role involves building modern data platforms, enabling advanced analytics, and integrating AI/ML capabilities into business applications.
Key Responsibilities
- Design and implement end-to-end data architecture and AI solutions.
- Define data pipelines, data models, and data governance frameworks.
- Lead development of scalable data platforms (data lakes, warehouses, lakehouses).
- Architect and deploy AI/ML models in production environments.
- Collaborate with data engineers, data scientists, and business stakeholders.
- Select appropriate tools, technologies, and frameworks for data and AI initiatives.
- Ensure data quality, security, and compliance standards are met.
- Guide teams on best practices for data engineering and MLOps.
- Optimize performance, scalability, and cost of data systems.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- Strong expertise in data platforms (SQL/NoSQL databases, data lakes, warehouses).
- Experience with cloud platforms (AWS, Azure, or Google Cloud Platform).
- Knowledge of ETL/ELT pipelines and big data technologies (Spark, Hadoop).
- Experience with AI/ML frameworks (TensorFlow, PyTorch, or similar).
- Strong programming skills (Python, SQL, or Scala).
- Experience with data modeling, governance, and security.
Preferred Skills
- Experience with real-time/streaming data (Kafka, Flink).
- Familiarity with BI and visualization tools (Power BI, Tableau).
- Knowledge of MLOps, CI/CD pipelines, and containerization (Docker, Kubernetes).
- Exposure to Generative AI and NLP use cases.
Key Competencies
- Strategic thinking and architecture design
- Leadership and mentoring skills
- Problem-solving and analytical mindset
- Strong communication and stakeholder management