Requirements
- Architect and own the end-to-end data platform, primarily on AWS
- Design and scale event-driven architectures using Kinesis, Kafka, or similar
- Build and evolve Medallion architecture (Bronze/Silver/Gold)
- Develop ELT pipelines using dbt and modern warehouses (Redshift, BigQuery, Snowflake)
- Enable real-time marketing use cases (segmentation, triggers, 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 via Tableau and ThoughtSpot
- Partner with cross-functional teams across business domains
- Act as technical leader and mentor across engineering teams
Qualifications
- Platforms & Infrastructure
- Cloud platforms (AWS, GCP, Azure)
- Event-driven and streaming architectures
- CI/CD and infrastructure-as-code
- Data Engineering
- dbt, SQL, Python
- Batch and real-time pipelines
- Medallion architecture
- Analytics & Data Products
- Tableau and ThoughtSpot
- Semantic layers and KPI standardization
- Experience
- 6-8+ years in data engineering or platform engineering
- Experience with large-scale data platforms
- Retail/e-commerce experience preferred
The base salary range for this position is $180,000-$220,000 per year which represents the current range for the base salary for this exempt position. Please note that actual salaries will vary based on factors including but not limited to location, experience, and performance. As such, on occasion and when applicable, there is the possibility that the final, agreed-upon base salary may be outside of the upper end of the range. Please also note the range listed is just one component of the company’s total rewards package for exempt employees.
Other rewards may include performance bonuses, long term incentives, a PTO policy, and many other progressive benefits.
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