Senior Data Engineer, Manager

This is a fully remote position, open to applicants in California, +11 more states.

📋 Description

• Lead, mentor, and expand a distributed analytics team across various time zones.

• Set priorities, establish goals, and manage performance to cultivate a high-performing analytics organization.

• Develop and implement analytics standards, best practices, and processes to ensure quality and consistency.

• Design, build, and maintain scalable ETL/ELT pipelines, event streams, and ingestion frameworks for analytics, product features, and ML applications.

• Oversee the design and implementation of cloud-native data infrastructure, including data warehouses, lakes, transformation layers, and orchestration.

• Ensure data quality, consistency, governance, and observability across data systems.

• Supervise and guide dashboards, automated reports, and analytics tools utilizing BI platforms such as Tableau, Looker, and Power BI.

• Ensure robust data pipelines, reliable metrics, and scalable reporting solutions in partnership with data engineering.

• Prioritize analytics projects, manage roadmap demands, and guarantee timely delivery.

• Advocate for analytical excellence, including experiment design, KPI definition, and model validation.

• Collaborate with product, analytics, and business leaders to ensure data accuracy, accessibility, and scalability.

• Enhance analytics capabilities and provide actionable insights that drive organizational decision-making.

⛳️ Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Systems, or a related quantitative field.

• Over 7 years of professional experience in data engineering, data platform development, or related fields, including the management of data teams.

• Extensive experience with contemporary cloud data ecosystems, such as Snowflake, BigQuery, and AWS/Azure/GCP data services.

• Proficiency in building and optimizing ETL/ELT pipelines using dbt, Apache Airflow, Spark, or similar orchestration frameworks.

• Strong SQL and programming skills in Python, Scala, or comparable languages.

• Experience in data modeling, schema design, and real-time data ingestion strategies.

• Exceptional communication skills with the ability to convey complex analyses to non-technical stakeholders.

• Capability to manage multiple priorities in a fast-paced, remote environment.

• At this moment, candidates must possess current and valid authorization to work in the country where they are applying.

• Preferred: experience in managing internationally distributed teams.

• Preferred: familiarity with cloud data platforms and modern analytics stacks.

• Preferred: experience with statistical modeling or data science techniques.

🏝️ Benefits

• Every employee receives equity.

• Promotions and growth opportunities are boundless, driven by performance and dedication.

• Healthcare coverage for you and your family.

• Paid time off (PTO) and paid holidays.

• Performance-based bonuses and opportunities for company equity.

• Fully remote work environment with flexible schedules.

• Collaborative and thriving team culture guided by Adoreal’s core values.

• Accommodations for disabilities are available upon request throughout the recruitment process.