Job Description
Key Responsibilities
* Define and lead the architecture and design of enterprise data platforms using Snowflake on AWS.
* Architect scalable data ingestion frameworks for integrating multiple source systems into the cloud data platform.
* Design and govern data transformation frameworks using DBT.
* Define and enforce data modelling standards including dimensional modelling, star schema, and enterprise data models.
* Lead architecture reviews and solution design discussions for new data initiatives.
* Optimize Snowflake performance, workload management, and cost governance.
* Establish data governance frameworks including access control, data security, and compliance standards.
* Design and support AI/ML-ready data architecture for advanced analytics and predictive modelling.
* Provide architectural guidance to data engineering, BI, and analytics teams.
* Design architecture to support data consumption for reporting systems, operational applications, and analytics platforms.
* Implement automation, orchestration, and scalable pipeline frameworks using tools such as Apache Airflow.
* Collaborate with business stakeholders and technical teams to align the data platform with enterprise data strategy.
* Support hospitality analytics use cases, including guest behaviour analysis, booking trends, revenue analytics, and operational reporting.
Required Technical Skills
Data Platform
* Strong expertise in
* Snowflake
* Deep knowledge of Snowflake architecture, performance tuning, data sharing, security, and workload optimization.
Cloud Platform
Strong experience with Amazon Web Services, including:
* S3
* IAM
* AWS Glue
* Lambda
* CloudWatch
Data Transformation
* Strong experience with
* DBT
* for enterprise-scale data modelling, testing, and transformation pipelines.
Programming / Query
* Strong expertise in SQL for data transformation and performance optimization
* Python (preferred) for automation and data engineering tasks.
Data Engineering
* Enterprise ETL / ELT pipeline architecture
* Data warehousing and enterprise data modelling
* Dimensional modelling (Star Schema, Snowflake Schema)
* Data pipeline scalability and reliability design.
AI / Data Science Exposure
* Experience supporting AI/ML data pipelines and data preparation for machine learning models.
* Understanding of predictive analytics, recommendation engines, and customer behaviour analytics.
* Ability to design AI-ready data platforms for future analytics use cases.
Preferred Skills
* Experience with Apache Airflow for pipeline orchestration.
* Knowledge of CI/CD pipelines, DevOps, and Git-based development workflows.
* Experience with data governance, metadata management, and enterprise data catalog tools.
* Experience with BI tools such as
* Tableau
* Microsoft Power BI.
* Domain experience in hospitality, travel, or hotel systems, including reservation systems, guest analytics, and operational reporting.