Manager of Data Engineering
$200,000–$230,000 year
On-siteBeverly Hills, California, United States
Job Summary
Lead a team of data engineers while designing solutions, writing SQL and Python, and reviewing code for critical data initiatives. Own the team's priorities and roadmap, overseeing the design, development, and support of reliable batch and real-time pipelines that feed analytics, operations, AI/ML, and decision-making. Partner with stakeholders to translate business requirements into technical solutions, strengthening data quality through automated validation, monitoring, and lineage. Manage cross-functional dependencies and communicate delivery progress while supporting the evolution of Alo's cloud-based data platform on AWS.
Required Qualifications
- Bachelor's or master's degree in Computer Science, Engineering or a related field
- 6+ years of experience in data engineering, software engineering, platform engineering, or related discipline
- 2+ years of experience managing or formally leading data engineers
- Strong hands-on proficiency in SQL and Python, with recent experience building production data solutions
- Demonstrated ability to balance people leadership and delivery management with direct technical contribution
- Experience designing, building, and supporting production-grade data pipelines, data products, and platforms
- Experience with cloud-based data technologies, preferably AWS
- Strong understanding of ETL/ELT, data modeling, data lake, and lakehouse architectures
- Experience with modern data technologies such as dbt, Airflow, Redshift, EMR, Databricks, Spark, Kafka, or Kinesis
- Experience with batch processing and real-time or event-driven architectures
Desired Qualifications
- Experience supporting analytics, personalization, experimentation, or AI/ML use cases preferred
- Familiarity with data governance, security, privacy, CCPA, or GDPR preferred
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