
Data Platform Optimization Specialist
2 days ago
We are seeking a skilled Database Engineer to ensure the smooth operation and optimization of our enterprise data platforms, primarily Snowflake and SQL Server. This role will bridge operational support and future-focused engineering by maintaining the integrity of existing systems and designing pipelines that enable scalable, cloud-native infrastructure.
Key Responsibilities:
- Support and optimize existing database technologies (Snowflake, SQL Server).
- Troubleshoot and improve query performance and schema design.
- Build and manage data pipelines using Azure Data Factory and Synapse Analytics.
- Conduct proactive monitoring, health checks, and performance tuning.
- Collaborate with engineering and business stakeholders to modernize the data platform.
- Ensure SLA compliance and effective incident/change management.
- Show flexibility in working with clients across multiple time zones.
- Deliver production support for databases and data pipelines, handling incidents, performance bottlenecks, and schema-related changes.
- Monitor database health and proactively address alerts, ensuring high availability and reliability.
Requirements:
- Strong expertise in Snowflake, SQL, and data warehouse design principles.
- Experience with Azure SQL Database, Synapse Analytics, and Data Lake.
- Knowledge of ETL/ELT pipelines and performance optimization.
- Familiarity with incident/change management tools like JIRA.
About the Role:
We value energetic, enthusiastic, and high-intensity individuals who thrive in dynamic environments and are willing to step outside their defined role to solve problems and deliver outcomes. Curiosity, commitment, and continuous learning fuel our progress, and flexibility with client schedules and time zones is central to how we serve. Joining us means being part of a mission-driven team where innovation meets execution.
Core Values:
Innovation, Integrity, Customer Success, Collaboration, and Continuous Learning.
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