Data Architect

Description The Director of Marketing Analytics Engineering & Data Products will serve as the primary owner of marketing-focused analytical data architecture and will act as the key bridge between Marketing Analytics, Customer Experience, Insights, Data Science and the centralized Enterprise Data organization.

Unlike a traditional data engineering leadership role, this position focuses on creating trusted, reusable, governed analytical data products and ensuring marketing teams have the data foundation required to support decision making, forecasting, marketing measurement, journey orchestration, customer experience analytics and executive reporting.

The successful candidate will help define:
- What marketing and experience data should reside in Snowflake.
- How data should flow between marketing platforms and enterprise systems.
- What data products are needed across analytics teams.
- How data pipelines should be structured.
- How scorecards, dashboards and models should consume data.
- How future customer journey orchestration capabilities will be supported.

This individual will partner heavily with Enterprise Data, who owns Snowflake, while representing the needs of Marketing, Experience and Analytics teams.

Initially this role is highly hands-on and individual contributor oriented, with potential to build and lead an Analytics Engineering team over time as organizational needs evolve.

Skills snowflake, data architecture, Marketing analytics, sql, marketing mix model, power bi, data pipeline, stakeholder management

Top Skills Details snowflake,data architecture,Marketing analytics,sql,marketing mix model,power bi,data pipeline,stakeholder management

Additional

Skills & Qualifications

Experience with dbt or similar analytics engineering and transformation frameworks.
Power BI expertise and self-service analytics enablement.
Salesforce Marketing Cloud Intelligence (Datorama) experience.
Customer journey analytics and journey orchestration experience.
Voice of Customer (VOC) analytics and customer experience measurement.
Identity resolution and customer data platform experience.
Real-time data pipeline and event-driven architecture experience.
Git, CI/CD, automated testing, documentation, and data lineage tools.
Experience supporting experimentation platforms, synthetic data, or digital twins initiatives.
Advanced degree in Computer Science, Data Engineering, Data Science, Analytics, Statistics, Information Systems, or related field.

Experience Level Expert Level Job Type & Location This is a Contract position based out of Charlotte, NC.Pay and Benefits The pay range for this position is $70.00 - $100.00/hr individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

Eligibility requirements apply to some benefits and may depend on your job
classification and length of employment. Benefits are subject to change and may be
subject to specific elections, plan, or program terms. If eligible, the benefits
available for this temporary role may include the following:

Medical, dental & vision
Critical Illness, Accident, and Hospital
401(k) Retirement Plan Pre-tax and Roth post-tax contributions available
Life Insurance (Voluntary Life & AD&D for the employee and dependents)
Short and long-term disability
Health Spending Account (HSA)
Transportation benefits
Employee Assistance Program
Time Off/Leave (PTO, Vacation or Sick Leave)
Job Type & Location This is a Contract position based out of Charlotte, NC.Final date to receive applications

This position is anticipated to close on Oct 24, 2026.Workplace Type This is a fully remote…