Director

Retail

Director-Real-TimeDataServicesEngineering

$220–330k ~AI est. Dallas-Coppell, Texas, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Director candidates.

The Brief

“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.

Retail
Problems you'll solve

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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