Senior to Lead Data Engineer
Company:Flodesk
Location:United States, Canada, EST, PST
Languages:English
Seniority level:Lead, 5+ years
Experience:5+ years
Skills:
AWSLeadershipPythonSQLApache AirflowETLData engineeringMentoringStakeholder managementData modeling
Requirements:
5+ years of experience in data engineering. 1–2 years in a technical leadership or lead role. Proven ability to design and scale data platforms. 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). 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.
Responsibilities:
Define the data engineering vision and roadmap. Architect and lead development of a scalable data platform. Mentor and guide a team of data engineers. Establish best practices for data governance, quality, security, and compliance. Lead initiatives for real-time streaming and data observability. Collaborate cross-functionally with Product, Engineering, Analytics, and Infrastructure teams. Evaluate and introduce emerging tools and technologies. Own the design and monitoring of ETL/ELT pipelines. Champion data democratization.
