Director of Data Engineering

Worldmarket
Alameda, US

Job Description

WhyYou'llLove World Market

Youwon'tfind a store and team like this anywhere else!We're passionate about our mission to delight customers with a unique, ever-changing marketplace of products from around the world.Our assortment is curated withstylish home decor,quality furniture,thoughtfulgifts,time-honored handicrafts,and international food and beverage favorites.From handpicked finds to heartfelt teamwork, World Market is where uniquenessisn'tjustcelebrated-it'swhat sets us apart.

Ourteam means the world to us!We valueauthenticity,empowermentand respectand we take pride in what we do. If you're lookingforacollaborative,fast-movingenvironmentwhereyour contributions are valued,growth is supportedand you canhave a little fun-you'vefound it!

When you join our team,you'llenjoy:

  • Benefits that support health, financial security, and personal life needs.Learn more about benefits and eligibility for Medical, Dental, and Vision Insurance, and more!
  • Paid vacation and paid sick time
  • 401(k) plan with Roth option and company match
  • Employee Assistance Program andwellness resources to be and do your best
  • Sample Sales and up to 30% shopping discount on our uniquefindsfor you and your designated shopper
  • Work life balance and work from home flexibility
  • Working with a team who thinks the world of you

What You'll Do

We're seeking a Director of Data Engineering to build and leada newdataand analytics platform from the ground up.This is a hands-on leadership role - you'll set the architecture, establish the platform, hire and develop the team, and deliver the data foundation that the rest of the business runs on.This is a rare opportunity to architectamoderndata and analyticsfoundation that willpowerdata-driven innovation across our organization.

The platform you build will provide data that powers:

  • Omni-channelexperiences and operationsacross 250+ storesand e-commerce
  • Unifieddata platformsupportingcustomer,personalization, loyalty, and digital marketing
  • Sematic analytic layerserving merchandising, supply chain, store operations, and finance
  • Modern integrationswith APIs and event-driven pipelinesoverlegacy batch file patterns
  • OurAI foundation for future intelligent workflows and agentic applications

Core Responsibilities

Data Platform Architecture

  • Own the Snowflake data platform: architecture, zone design (raw / curated / marts), access patterns, and cost governance
  • Define dimensional data modeling standards, transformation layer, data quality monitoring
  • Design and manage data ingestion from complex source systems: IBM iSeries, POS, Salesforce, OMS, Loyalty, ERP, and WMS
  • Lead migration from legacy batch file ingestion to CDC, API, and event-driven patterns

Data Governance & Quality

  • Establish data ownership, quality SLAs, cataloging, and lineage practices from scratch
  • Implement access controls and data security in coordination with Cybersecurity and Legal
  • Build observability and monitoring for pipeline health, data freshness, and anomaly detection

Engineering Leadership

  • Lead a lean team of direct reports, solution vendors,andoffshore engineering resources
  • Set and enforce engineering standards: CI/CD, testing, version control, documentation
  • Build the team over time; define hiring roadmap, onboarding, and career development
  • Establish standardsand uniformityacross the stack, including data quality and observability

Integration & Enablement

  • Partner with Engineering,Enterprise Applications, and Business Insights and Analytics
  • Define and deliver an analytics-ready semantic layer to enable self-service BI
  • Lay theMLOpsand data foundation needed to support future AI and agentic capabilities

The ideal candidate will be based in or near the San Francisco Bay Area and able to travel occasionally to our Alameda, CA Home Office.

Experience & Skills You'll Bring

Key Qualifications

  • 10+ yearsleadershipin datawarehousing, dataengineering, data architecture
  • 5+ years leading engineering teams; experience with offshore coordination preferred
  • Prioroversight ofimplementinggreenfieldEDW anddataoperations on acloudplatform
  • Deep experience in retail or omni-channel commerce-you understand how stores, e-commerce,merchants,and supply chains generate and consume data
  • Track record delivering production data platforms in complex, legacy-adjacent environments
  • Program leadership -you know how to build newand lead changewhile keeping the lights on

Technical Expertise

  • Expert understanding of data architecture, data modeling, and dimensional design
  • Hands-on proficiency with pipeline engineering tools (dbt, Airflow, Fivetran,)
  • Deep knowledge of cloud operations with hyperscaler platforms (Azure preferred)
  • Strong SQL and Python skills and understanding of database optimization
  • Experience with both batch and real-time/streaming data integration patterns
  • Understanding of API design, microservices, and event-driven architectures
  • Familiarity with Analytics Engineering, evolving A

Skills & Requirements

Technical Skills

SnowflakeIbm iseriesPosSalesforceOmsLoyaltyErpWmsDbtAirflowFivetranAzureSqlPythonApiMicroservicesEvent-driven architecturesData engineeringData platform architectureData governanceData qualityData integrationData modelingDimensional design

Level

Mid-Level

Posted

5/9/2026

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