Director
Retail
Director-Real-TimeDataServicesEngineering
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“Director - Real-Time Data Services Engineering at Director. Skills: Real-time data, Streaming data, Data platform engineering, Retail data. Design strategies for streaming data. Execute strategies for streaming data”
What You'll Achieve.
Harness streaming data; Power personalization; Power demand sensing; Power omnichannel operations; Power live customer experiences; Enable faster markdown decisions; Enable smarter replenishment; Enable live size-curve analytics; Power personalization engines; Power triggered communications; Power live site experiences; Measurable improvements each sprint; Move business to in-the-moment action
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
Significant relevant experience in data engineering, Meaningful concentration in real-time data infrastructure, Experience delivering real-time data solutions, Hands-on experience building ODS, Hands-on experience with CDC, Experience operationalizing data quality, Background in cloud-native data stacks, Experience integrating real-time data platforms, Demonstrated ability to translate streaming capabilities, Experience working across global teams, Proven ability to operate with high independence, Verbal and written communication skills
Nice to Have
Retail experience strongly preferred, Fashion or apparel retail experience preferred
What You'll Do.
Design strategies for streaming data
Execute strategies for streaming data
Own enterprise real-time data backbone
Deliver low-latency data services
Deliver high-availability data services
Own real-time data services roadmap
Align roadmap to business priorities
Implement stewardship of streaming data assets
Partner to replace latency-heavy batch processes
Collaborate to deliver real-time customer signals
Own reliability of core data streams
Own throughput of core data streams
Own quality of core data streams
Lead enterprise alignment on standards
Drive investment strategy for infrastructure
Drive investment strategy for real-time BI
Serve as internal data evangelist
Identify high-value opportunities
Enforce data security
Enforce access governance
Enforce privacy compliance
Represent platform needs in evaluations
Represent platform needs in partnerships
Build high-performing platform team
Develop high-performing platform team
Retain high-performing platform team
How You'll Work.
Team & Collaboration
Partnership with merchandising technology; Partnership with digital product; Partnership with supply chain engineering; Partnership with marketing data teams; Work with global teams; Work with offshore partners; Partner with legal; Partner with data governance
Communication Scope
Verbal communication; Written communication; Make decisions accessible
Process & Methodology
Roadmap planning
Full Job Description
## About the Role The Director of Real-Time Data Services Engineering will design and execute strategies that enable the organization to harness streaming and event-driven data across the full fashion retail value chain — from browse and purchase signals to inventory movement and fulfillment events. This role reports into the Sr. Directors, Data Platform Engineering and owns the enterprise real-time data backbone, delivering low-latency, high-availability data services that power personalization, demand sensing, omnichannel operations, and live customer experiences. This leader will work in close partnership with merchandising technology, digital product, supply chain engineering, and marketing data teams to ensure the right data reaches the right systems at the speed the business demands. ## What You'll Do * 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 plat
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