Senior Data Engineer Manager

Adoreal is a fast-growing vertical SaaS company focused on enhancing consumer experiences in the plastic surgery industry. They are looking for a Senior Data Engineering Manager to lead and scale their data engineering organization, focusing on building a modern data platform and ensuring data accessibility and accuracy.

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