Experience

12+ years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, and Enterprise Analytics solutions, with strong expertise in modern cloud data architectures.

Job Summary

We are seeking an experienced Data Architect with strong expertise in Snowflake on Amazon Web Services and DBT to design, architect, and optimize scalable enterprise data platforms.

The role involves defining data platform architecture, governance standards, and scalable data transformation frameworks, while ensuring high performance, security, and cost efficiency. The architect will provide technical leadership to data engineering and analytics teams and ensure the platform supports enterprise reporting, advanced analytics, and AI/ML initiatives.

The ideal candidate should also have exposure to AI/ML data platforms and experience in the hospitality domain, supporting systems such as reservations, guest management, and operational analytics.

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.

Education

Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, Data Science, or a related field.