- Design and evolve scalable cloud-native data architectures for advanced analytics and AI
- Develop and maintain real-time and batch data processing platforms
- Define and implement data modeling standards for structured/unstructured data
- Integrate innovative technologies (vector databases LLMs real-time streaming)
- Ensure data quality lineage and governance
- Collaborate with engineering/product teams to translate business needs into solutions
- Optimize platform scalability cost and performance in cloud environments
- Establish architectural standards for data-driven decision-making
Qualifications :
- 5 years of experience in data architecture and engineering
- Proficiency in Python for data processing/scripting
- Hands-on experience with Apache Airflow
- Experience with n8n low-code workflow automation
- Strong knowledge of Google BigQuery
- Familiarity with VectorDB or similar
- Expertise in AWS or GCP cloud services
- Experience integrating with OneDrive
- Upper-Intermediate English proficiency
WILL BE A PLUS
- Experience with data governance tools (e.g. Collibra Alation)
- Knowledge of streaming platforms like Apache Kafka
- AI/ML model deployment experience
- Multi-cloud architecture expertise
- Background in large-scale enterprise data migrations
Additional Information :
PERSONAL PROFILE
- Analytical and strategic thinker with a passion for data innovation
- Strong communication and stakeholder management skills
- Proactive in exploring and adopting emerging technologies
- Collaborative team player with a global mindset
Remote Work :
Yes
Employment Type :
Full-time
Design and evolve scalable cloud-native data architectures for advanced analytics and AI Develop and maintain real-time and batch data processing platforms Define and implement data modeling standards for structured/unstructured data Integrate innovative technologies (vector databases LLMs real-time...
- Design and evolve scalable cloud-native data architectures for advanced analytics and AI
- Develop and maintain real-time and batch data processing platforms
- Define and implement data modeling standards for structured/unstructured data
- Integrate innovative technologies (vector databases LLMs real-time streaming)
- Ensure data quality lineage and governance
- Collaborate with engineering/product teams to translate business needs into solutions
- Optimize platform scalability cost and performance in cloud environments
- Establish architectural standards for data-driven decision-making
Qualifications :
- 5 years of experience in data architecture and engineering
- Proficiency in Python for data processing/scripting
- Hands-on experience with Apache Airflow
- Experience with n8n low-code workflow automation
- Strong knowledge of Google BigQuery
- Familiarity with VectorDB or similar
- Expertise in AWS or GCP cloud services
- Experience integrating with OneDrive
- Upper-Intermediate English proficiency
WILL BE A PLUS
- Experience with data governance tools (e.g. Collibra Alation)
- Knowledge of streaming platforms like Apache Kafka
- AI/ML model deployment experience
- Multi-cloud architecture expertise
- Background in large-scale enterprise data migrations
Additional Information :
PERSONAL PROFILE
- Analytical and strategic thinker with a passion for data innovation
- Strong communication and stakeholder management skills
- Proactive in exploring and adopting emerging technologies
- Collaborative team player with a global mindset
Remote Work :
Yes
Employment Type :
Full-time
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