Data Ideology is looking for a Senior Data Engineer to join their growing Quality Engineering team. The ideal candidate will have experience with Snowflake, Azure Data Factory, and Informatica, as well as a strong understanding of data modeling techniques and SQL.
Requirements
- Ability to collect and understand business requirements and translate those requirements into data models, integration strategies, and implementation plans.
- Lead modernization and migration initiatives to move clients from legacy systems into Snowflake, ensuring functionality, performance and data integrity.
- Optimize and troubleshoot ETL/ELT workflows, applying best practices for scheduling, orchestration, and performance tuning
- Maintain documentation, architecture diagrams, and migration plans to support knowledge transfer and project tracking.
- Expert-level experience with Snowflake, including data modeling, performance tuning, security, and migration from legacy platforms
- Hands-on experience with Azure Data Factory (ADF) for building, orchestrating, and optimizing data pipelines
- Strong experience with Informatica (PowerCenter and/or IICS) for ETL/ELT development, workflow management, and performance optimization
- Deep knowledge of data modeling techniques (dimensional, tabular, and modern cloud-native patterns)
- Proven ability to translate business requirements into scalable, high-performance data solutions
- Experience designing and supporting end-to-end data pipelines across cloud and hybrid architectures
- Strong proficiency in SQL and experience optimizing large-scale analytic workloads
- Experience working within SDLC frameworks, CI/CD practices, and version control
- Ability to lead technical work and provide code reviews
- Excellent communication and documentation skills
Benefits
- PTO Policy
- Eligibility for Health Benefits
- Retirement Plan
- Work from Home