Join our team as a Lead Data Engineer, where you'll spearhead technical execution and provide architectural guidance across diverse engineering teams. This role offers a unique opportunity to influence the standards for a modern data stack centered on Snowflake and Azure.

Responsibilities

• Lead technical efforts for distributed teams, ensuring clarity and high standards across time zones.
• Collaborate with Product Owners and Solution Architects to design optimal data pipelines.
• Develop systems for high availability and fault tolerance to ensure platform resilience.
• Engineer and optimize data pipelines using Fivetran, Snowflake, and dbt for large-scale datasets.
• Implement metadata-driven pipelines to enhance development speed and reduce manual tasks.
• Apply advanced modeling techniques to create high-performance datasets for analytics and AI.
• Optimize Snowflake performance to minimize latency and reduce costs.
• Ensure platform reliability through end-to-end observability and rigorous quality checks.
• Manage data flows within the Azure ecosystem, leveraging Azure DevOps and related services.

Skills

• Extensive experience in building and optimizing complex data architectures and pipelines.
• Expert-level proficiency in Snowflake, dbt, and Fivetran.
• Strong skills in Azure services, including Storage, Compute, and DevOps/CI/CD.
• Proven ability to engineer layered data frameworks using various modeling methodologies.
• Experience in guiding offshore teams and conducting technical code reviews.

Preferred Skills

• Experience in building data foundations for Machine Learning and Generative AI use cases.
• Knowledge of automated data privacy/masking and advanced metadata cataloging.

At Horizontal, we are committed to fostering a diverse and inclusive workplace where everyone feels valued and respected. We believe that diversity drives innovation and are dedicated to creating an environment that reflects the diverse communities we serve.