Senior Data Engineer Manager

Adoreal is a fast-growing vertical SaaS company leveraging innovation to improve consumer experiences in the plastic surgery industry. They are seeking an experienced Senior Data Engineering Manager to lead and scale their data engineering organization, optimize their data platform, and ensure data accuracy and accessibility.

Responsibilities:

• Lead, mentor, and grow a distributed analytics team across multiple time zones
• Establish priorities, set goals, and manage performance to foster a high-performing analytics organization
• Develop and implement analytics standards, best practices, and processes to ensure quality and consistency
• Architect, build, and maintain scalable ETL/ELT pipelines, event streams, and ingestion frameworks to support analytics, product features, and ML applications
• Oversee the design and implementation of cloud-native data infrastructure (data warehouses, lakes, transformation layers, and orchestration)
• Ensure high data quality, consistency, governance, and observability across all data systems
• Oversee and guide the development of dashboards, automated reports, and analytics tools using BI platforms (e.g., Tableau, Looker, Power BI)
• Ensure robust data pipelines, reliable metrics, and scalable reporting solutions in collaboration with data engineering
• Prioritize analytics projects, balance roadmap demands, and ensure timely delivery
• Champion analytical excellence, including experiment design, KPI definition, and model validation

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, Data Systems, or a related quantitative field
• 7+ years of professional experience in data engineering, data platform development, or related fields — including managing data teams
• Deep experience with modern cloud data ecosystems (e.g., Snowflake, BigQuery, AWS/Azure/GCP data services)
• Expertise building and optimizing ETL/ELT pipelines using tools like dbt, Apache Airflow, Spark, or similar orchestration frameworks
• Strong SQL and programming skills (Python, Scala, or similar languages)
• Experience with data modeling, schema design, and real-time data ingestion strategies
• Excellent communication skills, with the ability to translate complex analyses to non-technical stakeholders
• Demonstrated ability to manage multiple priorities in a fast-paced, remote environment
• Experience managing internationally distributed teams
• Familiarity with cloud data platforms (e.g., Snowflake, AWS, GCP) and modern analytics stacks
• Experience with statistical modeling or data science techniques