Senior to Lead Data Engineer

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 designAbout the Opportunity 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-proof 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. What you need to be successful 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 communica...