Manager of Data Engineering

OVERVIEW

• We are seeking an experienced Manager of Data Engineering to lead a team responsible for building and maintaining the data pipelines, models, data products, and platform capabilities that support decision-making across Alo.

• This is a hands-on leadership role combining people management, technical execution, and delivery ownership. You will develop a team of data engineers, translate business priorities into technical plans, and ensure the delivery of reliable, scalable, and well-governed data solutions.

• The ideal candidate is a strong engineering leader who remains technically hands-on. In addition to coaching the team and managing delivery, you will contribute to solution design, write and review code, and directly support critical data initiatives.

REQUIREMENTS

• Lead, coach, and develop a team of data engineers, setting clear expectations and supporting career growth.

• Own the team’s priorities, roadmap, and delivery commitments across platform and business-facing initiatives.

• Remain hands-on by designing solutions, writing SQL and Python, reviewing code, and contributing directly to critical projects.

• Partner with Analytics, Data Science, Product, Technology, and business stakeholders to translate business requirements into technical solutions.

• Oversee the design, development, deployment, and support of reliable batch and real-time data pipelines.

• Build scalable, reusable data products that translate business needs into trusted datasets, models, and services for analytics, operations, AI/ML, and decision-making.

• Support the continued evolution of Alo’s cloud-based data platform.

• Strengthen data quality through automated validation, monitoring, alerting, lineage, and clearly defined ownership.

• Manage cross-functional dependencies, identify risks, remove blockers, and communicate delivery progress.

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.

• Experience supporting analytics, personalization, experimentation, or AI/ML use cases preferred.

• Skills & Tags

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