Director
Retail
Director-Real-TimeDataServicesEngineering
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“Director - Real-Time Data Services Engineering at Director. Skills: Real-time data, Streaming data, Data engineering, Platform engineering. Design strategies for streaming data. Execute strategies for streaming data”
What You'll Achieve.
Enable personalization; Enable demand sensing; Enable omnichannel operations; Enable live customer experiences; Reduce markdowns; Faster replenishment; Improved conversion; Enable faster markdown decisions; Enable smarter replenishment; Enable live size-curve analytics; Power personalization engines; Enable triggered communications; Enable live site experiences; Improve data streams each sprint; Move business to in-the-moment action
Industry & Context.
Root cause analysis; Troubleshooting; Data-driven decision making
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
Partner with merchandising technology teams
Partner with digital product teams
Partner with supply chain engineering teams
Partner with marketing data teams
Own real-time data services roadmap
Align roadmap to business priorities
Implement stewardship of streaming data assets
Ensure pipeline observability
Replace latency-heavy batch processes
Enable faster markdown decisions
Enable smarter replenishment
Enable live size-curve analytics
Deliver real-time customer signals
Power personalization engines
Enable triggered communications
Enable live site experiences
Own stream reliability
Own stream throughput
Improve data streams each sprint
Lead enterprise alignment on standards
Define event schema contracts
Establish API-first data delivery
Drive investment strategy for infrastructure
Drive investment strategy for real-time BI
Make architecture decisions
Support peak retail periods
Serve as data evangelist
Identify high-value opportunities
Move business to in-the-moment action
Enforce data security
Enforce access governance
Enforce privacy compliance
Represent platform needs in evaluations
Manage vendor partnerships
Build high-performing team
Develop high-performing team
Retain high-performing team
Provide technical mentorship
Define clear career paths
How You'll Work.
Team & Collaboration
Partner with merchandising teams; Partner with product teams; Partner with supply chain teams; Partner with marketing teams; Collaborate with digital product teams; Collaborate with marketing teams; Partner with legal teams; Partner with data governance teams; Work across global teams; Work with offshore partners
Communication Scope
Verbal communication; Written communication; Make architecture accessible
Process & Methodology
Roadmap planning, Investment strategy
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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