Lead Data Engineer
About The Position
Alo is seeking a Lead Data Engineer to architect, build, and evolve the foundational data platform supporting analytics, real-time decisioning, and operational intelligence. The role calls for an experienced builder who has designed production-grade data systems end to end, from event ingestion and transformation through modeling, serving, and governance, with an emphasis on reusable, reliable, and scalable systems. The Lead Data Engineer will define the technical foundation for ingesting, processing, and acting on data across batch and real-time systems. The platform will support use cases including marketing automation, inventory intelligence, and order fulfillment visibility. The role also provides technical leadership and mentorship across engineering teams and partners with cross-functional teams across business domains.
Requirements
- 6–8+ years of experience in data engineering or platform engineering.
- Experience with large-scale data platforms.
- Experience with cloud platforms such as AWS, GCP, or Azure.
- Experience with event-driven and streaming architectures.
- Experience with CI/CD and infrastructure-as-code.
- Proficiency with dbt, SQL, and Python.
- Experience building batch and real-time pipelines.
- Experience with Medallion architecture.
- Experience with Tableau and ThoughtSpot.
- Knowledge of semantic layers and KPI standardization.
Nice To Haves
- Retail or e-commerce experience.
Responsibilities
- Architect and own the end-to-end data platform, primarily on AWS.
- Design and scale event-driven architectures using Kinesis, Kafka, or similar technologies.
- Build and evolve a Medallion architecture (Bronze/Silver/Gold).
- Develop ELT pipelines using dbt and modern data warehouses such as Redshift, BigQuery, or Snowflake.
- Enable real-time marketing use cases, including segmentation, triggers, and personalization.
- Design systems for inventory intelligence and allocation optimization.
- Build pipelines for order lifecycle and SLA insights.
- Establish standards for data modeling, testing, CI/CD, and observability.
- Enable analytics through Tableau and ThoughtSpot.
- Partner with cross-functional teams across business domains.
- Act as a technical leader and mentor across engineering teams.
Benefits
- Performance bonuses
- Long-term incentives
- PTO policy
- Other progressive benefits
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
