FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Tech Stack
Tools & technologiesApacheAWSAzureCloudGoogle Cloud PlatformKafkaMicroservicesSpark
About the role
Key responsibilities & impact- Own and drive the real-time data services roadmap aligned to key fashion retail business priorities — including live inventory visibility, real-time personalization, and omnichannel order orchestration
- Implement active stewardship of streaming data assets including schema registries, event topic governance, data lineage, and end-to-end pipeline observability
- Partner with merchandising technology and supply chain teams to replace latency-heavy batch processes with streaming solutions that enable faster markdown decisions, smarter replenishment, and live size-curve analytics
- Collaborate with digital product and marketing teams to deliver real-time customer behavioral signals that power personalization engines, triggered communications, and live site experiences
- Own the reliability, throughput, and quality of core real-time data streams with measurable improvements each sprint
- Lead enterprise alignment on streaming data standards, event schema contracts, and API-first data delivery patterns across brands and banners
- Drive investment strategy for streaming infrastructure and real-time BI, including architecture decisions that support peak retail periods such as holiday, back-to-school, and new collection launches
- Serve as the internal real-time data evangelist — proactively identifying high-value opportunities to move the business from next-day insight to in-the-moment action
- Enforce data security, access governance, and privacy compliance as applied to streaming and event data, in partnership with legal and data governance teams
- Represent real-time data platform needs in technology evaluations, vendor partnerships, and any acquisition or brand integration activities
- Build, develop, and retain a high-performing platform engineering team through effective hiring, coaching, technical mentorship, and clear career pathing
Requirements
What you’ll need- Significant relevant experience in data engineering or platform engineering, with meaningful concentration in real-time or streaming data infrastructure
- Strong experience delivering real-time data solutions in fashion, apparel, or specialty retail environments — including seasonal demand patterns, size/color complexity, and omnichannel fulfillment
- Deep expertise in stream processing technologies such as Apache Kafka, Apache Flink, Spark Streaming, or equivalent
- Hands-on experience building and operation Operational Data Stores (ODS) and other data product serving mechanisms
- Hands-on experience with change data capture (CDC), event-driven microservices, and operational data stores supporting high-frequency retail transactions
- Experience operationalizing data quality, pipeline observability, and SLA enforcement for streaming workloads in production
- Strong background in cloud-native data stacks (Azure, GCP, or AWS) with focus on real-time consumption patterns including event hubs, pub/sub systems, and live data APIs
- Experience integrating real-time data platforms with retail-specific systems including OMS, POS, WMS, CDP, and marketing activation platforms
- Demonstrated ability to translate streaming infrastructure capabilities into tangible business outcomes — reduced markdowns, faster replenishment, improved conversion
- Experience working across global teams spanning multiple geographies and time zones, including offshore engineering partners
- Proven ability to operate with high independence in a fast-paced retail environment driven by seasonal calendars, peak trade periods, and rapidly shifting executive priorities
- Strong verbal and written communication skills with the ability to make complex streaming architecture decisions accessible to merchandising, marketing, and finance stakeholders
- Retail experience is required; fashion or apparel retail strongly preferred.
Benefits
Comp & perks- Competitive salary
- Flexible working hours
- Professional development budget
- Home office setup allowance
- Global team events
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringplatform engineeringreal-time data solutionsstream processing technologiesApache KafkaApache FlinkSpark StreamingOperational Data Storeschange data captureevent-driven microservices
Soft Skills
communication skillsindependencecollaborationcoachingtechnical mentorshipleadershipproblem-solvingstrategic thinkingadaptabilitystakeholder engagement