Senior Data Engineer

This is a fully remote position, open to applicants in Philippines.

📋 Description

• Design, construct, and sustain scalable and secure cloud-native data platforms and pipelines.

• Take the lead in the architecture, optimization, and operational management of the Snowflake data warehouse platform.

• Create robust ELT/ETL pipelines to ingest, transform, and deliver high-quality data from various internal and external sources.

• Develop reusable and maintainable data frameworks, transformation models, and orchestration workflows.

• Establish and uphold infrastructure-as-code and automation for data platform provisioning and management when applicable.

• Enhance performance, scalability, and cost efficiency across data storage, transformation, and query workloads.

• Support both near real-time and batch-based data processing needs.

• Own and continuously refine Snowflake architecture, performance tuning, security, governance, and operational best practices.

• Design and optimize Snowflake schemas, warehouses, clustering strategies, and data sharing capabilities.

• Monitor Snowflake usage, query performance, and cost consumption to initiate optimization efforts.

• Assist in data lifecycle management, retention, and governance policies within Snowflake.

• Facilitate self-service analytics capabilities through well-structured semantic layers and governed datasets.

• Collaborate closely with Product, Engineering, Operations, Finance, and Business stakeholders to deliver meaningful data solutions.

⛳️ Requirements

• A minimum of 5 years of experience in Data Engineering, Analytics Engineering, or related data platform positions.

• Proven experience in designing and supporting multi-region and enterprise-scale data platform architectures.

• Strong track record in driving performance optimization and cloud cost efficiency initiatives for large-scale data workloads.

• Solid understanding of platform reliability, operational maturity, resilience, and production support practices.

• Experience in implementing advanced governance, security, access control, and data protection models within enterprise data platforms.

• Strong ability in developing architectural standards, engineering documentation, and scalable platform design patterns.

• Extensive hands-on expertise with Snowflake in enterprise-scale environments.

• Advanced SQL skills with experience in optimizing complex analytical queries and data transformations.

• Significant experience in building and maintaining modern ELT/ETL pipelines and orchestration workflows.

• Strong grasp of modern data warehousing concepts, dimensional modeling, and scalable data architecture.

• Familiarity with cloud platforms such as AWS, Azure, or GCP.

• Experience with data transformation and orchestration tools like dbt, Airflow, Fivetran, Matillion, or similar platforms.

• Experience in integrating structured and semi-structured data sources.

• Solid understanding of data governance, security, and access management principles.

• Proven ability to manage large and complex datasets in production settings.

• Strong analytical, troubleshooting, and problem-solving skills.

• Capability to work effectively in fast-paced, agile, and collaborative environments.

🏝️ Benefits

• ZigZag is dedicated to fostering a diverse, inclusive, and equitable workplace.

• We embrace individuals from all backgrounds.

• Guided by transparency and agility, we cultivate an environment where everyone is recognized and empowered to succeed.