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etl sql ai data modeling metadataπ Description
- Architect and evolve structured data solutions impacting media performance, personalization, and automation.
- Own data frameworks for product-driven campaigns across search, social, programmatic, and retail media.
- Translate business and media objectives into scalable data models, schemas, and transformations.
- Drive data augmentation/enrichment: metadata, product clustering, margin/inventory, contextual tagging.
- Design data systems for automation and AI use cases; collaborate with Alli Product & Engineering for governance.
- Establish data standards, QA, and mentor juniors to raise maturity and reliability.
π― Requirements
- 7β10+ years of experience in structured data, product feeds, commerce data, or marketing data engineering.
- Hands-on experience supporting product-driven campaigns (Google Shopping, Meta Catalog, retail media networks, dynamic creative).
- Strong understanding of structured data logic, schema design, and transformation workflows.
- SQL proficiency; experience with feed management systems and rule-based transformations.
- Ability to translate business and media requirements into scalable data structures.
- Experience mentoring or guiding junior team members in a collaborative, hands-on way.
π Benefits
- Professional development programs and mentorship.
- Generous time off and holidays.
- Paid parental leave.
- Retirement and pension plans with matching.
- Healthcare coverage for medical expenses.
- AI enterprise license and weekly AI training.
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