Senior to Lead Data Engineer Da Nang, Da Nang, Vietnam

Flodesk is one of the world’s fastest-growing email marketing companies, built to help creators sell online and design emails that people love to get. Our commitment to small business owners is to create simple and intuitive tools that help them grow, nurture, and monetize their email list.

We’re a remote-first company headquartered in San Francisco, California, with a globally distributed team—including an in-person office in Da Nang, Vietnam. Our team reflects the diversity and creativity of the people we serve. Join our mission to level the playing field for small business owners through good design

The Data Team at Flodesk is part of our Engineering Team, based in our Da Nang office. We're looking for a Senior to Lead Data Engineer to drive the strategy, architecture, and execution of our data platform. You’ll lead a team of talented data engineers, define the roadmap for our infrastructure, and ensure our systems are robust, scalable, and aligned with modern best practices.

This is a hands‑on leadership role where you’ll both set direction and dive deep into technical challenges.

• Define the data engineering vision and roadmap, aligned with business goals and analytics needs.
• Architect and lead the development of a scalable, high‑performance data platform, including data lakehouse, data warehouses, and real‑time pipelines.
• Mentor and guide a team of data engineers, fostering a culture of technical excellence, ownership, and continuous improvement.
• Establish and enforce best practices for data governance, quality, security, and compliance with regulations like GDPR and CCPA.
• Lead initiatives to implement state‑of‑the‑art data engineering techniques, such as real‑time streaming, data observability, and workflow orchestration.
• Collaborate cross‑functionally with Product, Engineering, Analytics, and Infrastructure teams to ensure data systems meet evolving business and technical requirements.
• Continuously evaluate and introduce emerging tools and technologies to future‑prove our data stack.
• Own the design and monitoring of ETL/ELT pipelines, ensuring reliability, cost efficiency, and high throughput.
• Champion data democratization, making high‑quality, well‑documented data available for downstream teams and use cases.

• 5+ years of experience in data engineering, with 1–2 years in a technical leadership or lead role.
• Proven ability to design and scale data platforms for performance, reliability, and cost‑efficiency.
• Deep understanding of data architecture, modeling, and warehousing best practices.
• Strong expertise in SQL, Python, and modern data pipeline tools (e.g., Airflow, Dagster, DBT, etc.).
• Familiarity with cloud platforms (especially AWS) and cloud‑native data services (e.g., S3, Redshift, Glue, Kinesis).
• Experience implementing streaming and real‑time data processing solutions is a strong plus.
• Passion for clean, maintainable code and strong documentation.
• Excellent communication and stakeholder management skills, with the ability to align technical direction with strategic objectives.

We are a profitable, fast-growing startup with a product that is transforming the industry. We value creativity, hard work, human connection, diversity, and being a great place to work!

Competitive salary and a 13th‑month bonus

Stock options for high contributors

Personal development allowance of up to $1000/year

Comprehensive healthcare coverage

Flexible work hours with standard five‑day workweek

Modern office with top‑notch equipment like a Macbook Pro

Opportunities for career growth, including overseas options

If you're passionate about making a difference and thriving in a dynamic, collaborative environment, we want to hear from you! Apply now and join us in shaping the future.

Flodesk is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military…