Senior Data Architect
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Key skills for this role
About the Role
An AI-focused technology company is seeking a Senior Data Architect to design and evolve data foundations for advanced analytics, machine learning, and Generative AI.
Key Skills for This Role
Responsibilities
- Design and implement scalable enterprise data architectures across cloud platforms (Azure, AWS or GCP)
- Develop modern data lake, lakehouse, and data warehouse solutions to support AI and analytics workloads
- Define data models, integration patterns, governance frameworks, and data quality standards
- Partner with Data Scientists, ML Engineers, Software Engineers, and Product teams to deliver AI driven products
- Design and optimise real time and batch data pipelines using modern data engineering technologies
- Establish best practices around metadata management, security, privacy, and regulatory compliance
- Drive architectural decisions for high volume, high performance data platforms
- Evaluate and implement emerging technologies to support Generative AI, LLMs, and advanced analytics initiatives
Requirements
- 7+ years' experience in Data Architecture or Senior Data Engineering roles
- Strong experience designing enterprise scale data platforms within an AI, Machine Learning, or advanced analytics environment
- Expertise with cloud platforms (Azure, AWS or GCP)
- Experience with technologies such as Databricks, Snowflake, Spark, Kafka, Airflow, SQL, and Python
- Strong understanding of data modelling, ETL/ELT, data governance, and master data management
- Experience supporting AI/ML pipelines and production data environments
- Excellent stakeholder management and communication skills
Full Job Posting
Data Architect | AI & Data Platforms
- We're partnering with a fast growing AI focused technology company that is transforming how organisations leverage data and artificial intelligence.
- They are looking for an experienced Data Architect to design and evolve the data foundations that power advanced analytics, machine learning, and Generative AI solutions.
Key Responsibilities
- Design and implement scalable enterprise data architectures across cloud platforms (Azure, AWS or GCP).
- Develop modern data lake, lakehouse, and data warehouse solutions to support AI and analytics workloads.
- Define data models, integration patterns, governance frameworks, and data quality standards.
- Partner with Data Scientists, ML Engineers, Software Engineers, and Product teams to deliver AI driven products.
- Design and optimise real time and batch data pipelines using modern data engineering technologies.
- Establish best practices around metadata management, security, privacy, and regulatory compliance.
- Drive architectural decisions for high volume, high performance data platforms.
- Evaluate and implement emerging technologies to support Generative AI, LLMs, and advanced analytics initiatives.
Requirements
- 7+ years' experience in Data Architecture or Senior Data Engineering roles.
- Strong experience designing enterprise scale data platforms within an AI, Machine Learning, or advanced analytics environment.
- Expertise with cloud platforms (Azure, AWS or GCP).
- Experience with technologies such as Databricks, Snowflake, Spark, Kafka, Airflow, SQL, and Python.
- Strong understanding of data modelling, ETL/ELT, data governance, and master data management.
- Experience supporting AI/ML pipelines and production data environments.
- Excellent stakeholder management and communication skills.
Nice to Have
- Experience working with Generative AI, LLMs, vector databases, or RAG architectures.
- Knowledge of MLOps platforms and machine learning lifecycle management.
- Cloud certifications or architecture certifications.
Opportunity
- This is an excellent opportunity to join an innovative AI organisation where you'll play a key role in shaping the data architecture that underpins cutting edge AI products and enterprise scale intelligent solutions.
Salary
- 45K AED per Month
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