Company
Technology
SeniorDataEngineerCDP
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Engineer CDP. Skills: Data modeling, Data pipelines, Customer data platforms, Snowflake”
Industry & Context.
What They're Looking For.
Must Have
Expertise in building customer-centric data ecosystems, Snowflake architecture experience, Data modeling experience, Performance tuning experience, Cost optimization experience, Advanced SQL experience, Dbt experience, Scalable data pipeline development experience, Customer data platforms experience, Identity resolution experience, Customer 360 data models experience, Experience supporting CRM and marketing tools, Understanding of event-driven data, Understanding of segmentation, Understanding of lifecycle marketing, Understanding of personalization use cases, Reverse ETL tools experience, Familiarity with data governance, Familiarity with consent frameworks, Familiarity with privacy regulations, Communication skills, Experience working with distributed teams, Experience working with cross-functional teams, Experience in fast-paced environments
Nice to Have
Experience with CDP tools, Exposure to predictive analytics, Exposure to AI-driven segmentation, Exposure to propensity modeling, Experience in retail domain, Experience in subscription domain, Experience in financial services domain, Experience in customer engagement-heavy industries
How You'll Work.
Team & Collaboration
Collaborate with product; Collaborate with analytics; Collaborate with marketing stakeholders; Distributed teams; Cross-functional teams
Communication Scope
Translate complex data concepts
Full Job Description
## Accountabilities Design, build, and maintain scalable Snowflake-based data models supporting customer 360 views, segmentation, and activation use cases. Develop and optimize customer data pipelines that power CDPs, CRM systems, and downstream marketing tools such as Braze and reverse ETL platforms. Translate business and marketing requirements into robust, production-grade data architectures and CDP-ready schemas. Implement identity resolution frameworks, event tracking structures, consent management, and customer profile unification logic. Ensure data quality, governance, compliance, and performance optimization across large-scale customer datasets. Collaborate with product, analytics, and marketing stakeholders to enable data-driven customer engagement strategies. Requirements: You are an experienced data engineer with strong expertise in building customer-centric data ecosystems, particularly in Snowflake environments and modern CDP architectures. You combine deep technical capability with strong business understanding of customer engagement use cases. Strong hands-on experience with Snowflake architecture, data modeling, performance tuning, and cost optimization. Advanced SQL and dbt experience with a focus on scalable data pipeline development. Proven experience working with customer data platforms (CDPs), identity resolution, and customer 360 data models. Experience supporting CRM and marketing tools such as Braze, Salesforce Marketing Cloud, Adobe Campaign, or similar. Strong understanding of event-driven data, segmentation, lifecycle marketing, and personalization use cases. Experience with reverse ETL tools such as Hightouch or Census. Familiarity with data governance, consent frameworks, and privacy regulations. Strong communication skills with the ability to translate complex data concepts for both technical and non-technical stakeholders. Experience working with distributed, cross-functional teams in fast-paced environments. Preferred: Experience with
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