Hugo was created with the high-growth startup in mind. We custom build or augment existing operations teams for companies in scaling mode, leaving founders and senior management to focus on what matters most: growth. We build and manage high-performance remote client support teams that help companies achieve better outcomes.
Responsibilities
- Data Infrastructure & Ingestion: Architect and maintain robust, scalable data pipelines that automate ingestion from both structured and unstructured sources. Leverage Python and SQL to ensure reliable, secure, and traceable data flow across platforms.
- Transformation Layer Management: Implement and manage transformation workflows using dbt, ensuring data models are modular, version-controlled (via Git), and optimized for maintainability and performance.
- Pipeline Orchestration: Orchestrate and schedule data workflows using tools such as Airflow or Prefect, ensuring reliable, timely, and automated data delivery across systems.
- Cloud Warehouse Architecture: Design and oversee the data warehouse environment in platforms such as BigQuery or Snowflake, with a focus on security, cost optimization, and high performance.
- Performance Optimization: Continuously monitor query performance and data pipeline throughput, identifying and resolving bottlenecks or inefficiencies in real-time.
- Quality & Governance: Enforce best practices for data validation, lineage tracking, testing frameworks, and schema evolution to maintain high levels of data integrity and trust.
- CI/CD for Data: Set up version control workflows for data transformations and metadata changes, integrating GitOps and CI/CD principles into the analytics engineering lifecycle.
- Cross-functional Partnership: Collaborate deeply with analysts, business users, and product teams to understand evolving data needs and proactively adjust architecture and pipelines.
- Strategic Foundation for Growth: Lay the groundwork for a modern data platform that is scalable, cost-efficient, and primed for future team expansion. This role is expected to evolve into a leadership position as the team grows.
Requirements
- 5 to 7 years of progressive experience in Data Engineering.
- Prior experience in a scale-up, product-led, or data-centric organization.
- Familiarity with BI tools is a plus (Tableau, PowerBI, Looker), though not a core requirement.
- A proven track record of implementing end-to-end data infrastructure projects that are still in production.
- Proven record of high performance and substantial achievements in your past positions.
- Demonstrated leadership ability in a team environment.
- Initiative taker, eager to break new grounds, create opportunities for others.
- Willingness to take personal risks – as seen through leadership roles – in work environment and extracurricular activities.
- Ability to work effectively with people at all levels in an organization.
- Excellent written and oral communication skills, with the ability to present to various audiences and distill key messages in order to effectively inform and persuade.
- Skills to communicate complex ideas effectively
Method of Application
Meet the qualifications? Apply now at Hugo Technologies on careers.hugotech.co