Head of Data Engineering

🕒 January 13

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Holafly

201 - 500 employees

☁️ SaaS

📡 Telecommunications

💰 Seed Round on 2019-06

SaaS • Marketing • Technology • Telecommunications

Holafly is a company that specializes in providing digital solutions for building and managing online brand connections. Their platform offers a range of tools including a URL shortener, QR code generator, and landing page builder, designed to help businesses enhance their digital engagement and track performance metrics. With a focus on customization, analytics, and seamless integration, Holafly aims to optimize the way businesses connect with their audience across multiple industries such as retail, technology, and healthcare. Their services cater to various business scales, from small businesses to large enterprises, ensuring that customers can efficiently manage and track their digital interactions.

📋 Description

• Define the architectural backbone and scalability of Holafly’s entire data ecosystem. • Ensure global operations are fueled by high-quality, real-time insights. • Bridge the gap between infrastructure and analytics, enabling data-driven decision-making. • Design and evolve a world-class data architecture that scales seamlessly with rapid global expansion. • Establish engineering excellence by implementing robust CI/CD practices and version control for all data pipelines. • Ensure data reliability and security across all platforms, supporting mission-critical ML models and business analytics. • Drive strategic technology choices, selecting the best tools and cloud platforms to maintain a competitive edge. • Cultivate high-performing squads, mentoring data engineers to deliver efficient, automated ETL/ELT solutions. • Partner with cross-functional leaders to translate complex business requirements into scalable technical realities.

🎯 Requirements

• Deep expertise in data management, including warehousing, big data technologies, and cloud infrastructure. • 3+ years of strong experience in managing and leading a team. • 5 + years of strong proficiency in Python, Java, or Scala for engineering complex data flows. • Extensive experience with relational and NoSQL databases at scale. • Proven technical leadership experience in a high-growth or scale-up environment. • Specific expertise within the Google Cloud Platform (GCP) ecosystem. • Demonstrated ability to scale engineering teams and foster a culture of technical ownership. • An advanced degree (Master’s or Ph.D.) in Computer Science or Engineering would be a plus.

🏖️ Benefits

• Remote-first culture with the flexibility to work from anywhere in the world. • Work-life balance focus to ensure you have the peace of mind to innovate. • Opportunity to shape the technical strategy of a global travel-tech leader.

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