Description:

Ryz Labs is seeking a Principal Data Engineer to design, build, and own modern data platforms from end-to-end.
The role involves developing, testing, and maintaining robust batch and streaming data pipelines using Python, SQL, and Spark/Databricks.
Responsibilities include provisioning and evolving cloud resources (AWS, Azure, or GCP) using Infrastructure as Code (IaC) frameworks like Terraform or CloudFormation.
The engineer will enforce software-craft disciplines such as version control, automated testing, CI/CD, and code reviews while writing clean, idiomatic, and well-documented Python code.
The position requires producing clear architectural diagrams, architectural decision records (ADRs), and technical design documents to guide implementation and onboarding.
The engineer will monitor and optimize data pipelines, build dashboards, tune performance, and manage incident response and root-cause analysis.
A key responsibility is to champion data quality and governance by implementing validation, lineage, and observability to ensure trustworthy data assets.
The role involves collaborating cross-functionally with product, data science, and platform teams to translate business questions into scalable data solutions.

Requirements:

A minimum of 6 years of experience in data engineering with proven production use of Databricks, including tuning examples.
Candidates must hold certifications such as Databricks certified data engineers and cloud-specific data engineering certifications.
Mastery in Python, including object-oriented programming (OOP), type hints, packaging, and performance tuning is required.
Expertise in Spark, particularly in performance tuning and data engineering optimizations, is essential.
Candidates must possess expert-level SQL skills and experience in data model design for relational databases.
Proficiency in Infrastructure-as-Code tools (Terraform, CDK, or ARM) and CI/CD tooling (GitHub Actions, Jenkins, Azure DevOps) is necessary.
Knowledge of observability and monitoring tools (Datadog, Prometheus, OpenTelemetry) for data services is required.
Candidates should be well-versed in setting up data quality and data integrity pipelines and comfortable with writing design documents.

RYZ Labs offers a remote and distributed work environment, allowing for flexibility and autonomy in your role.
Employees will have opportunities for learning, growth, and engagement in challenging projects.
The company fosters a culture of collaboration, where team members can share and learn from each other.
RYZ Labs emphasizes a customer-first mentality, ownership, and a bias for action, creating a dynamic and impactful work atmosphere.
The organization values humility, respect, frugality, and continuous improvement, encouraging employees to raise their standards and deliver efficient results.