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.