Posted on: 29/10/2025
Key Responsibilities :
- Designing, building, testing, and maintaining scalable data models using Snowflake.
- Administering Snowflake environments, monitoring system health and performance.
- Managing and optimizing Snowflake virtual warehouses for efficiency and cost-effectiveness.
- Promoting self-service and decentralized data ownership across teams.
- Enforcing data governance policies to ensure standardization, quality, and compliance.
- Providing technical assistance and cross-training to team members.
- Participating in design sessions and creating technical design documents and diagrams.
- Conducting code reviews and offering constructive feedback.
- Mentoring engineers to support team growth and development.
- Collaborating with senior engineers in the Registry Architecture Review Board.
- Ensuring delivery quality and supporting production services.
Education and Experience :
- 9+ years of experience as a Data Engineer, Software Developer, or Administrator focused on data modeling, governance, and platform administration.
- Expertise in Snowflake or similar MPP databases.
- Strong SQL skills.
- Experience with multiple database technologies (MSSQL, PostgreSQL, OLAP, OLTP).
- Familiarity with ETL/ELT tools and methodologies.
- Experience with database health monitoring, stored procedures, and schema design.
- Practical understanding of data governance principles.
- Experience with cloud environments (SaaS, PaaS, IaaS).
- Strong communication skills, both written and verbal.
- Experience in technical design and documentation.
- Proficiency with source control systems (Git, Gitflow).
- Experience with Agentic AI (Claude, GPT, etc.
- Experience with test automation.
- Familiarity with Generative AI and Spec-Driven Development.
- Experience with Kafka, Azure Event Hubs, Azure Service Bus.
- Knowledge of CI/CD practices.
- Ability to work independently and within Agile teams.
- Experience with Azure cloud services.
- Exposure to Master Data Management (MDM).
- Python skills for data transformation and pipeline automation.
- Understanding of data mesh principles.
- Strong prioritization and multitasking abilities.
Analytical and Personal Skills :
- Must have good logical reasoning and analytical skills.
- Good Communication skills in English both written and verbal.
- Demonstrate Ownership and Accountability of their work.
- Attention to detail.
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Posted By
Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1567336
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