Senior Data Engineer CDP
TLDR
High-impact engineering role focused on building and optimizing customer data foundations powering personalization and real-time engagement at scale, integrating Snowflake, CDPs, and marketing tech.
- 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.
- 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.
- Experience with CDP tools such as Segment, mParticle, Tealium, or RudderStack.
- Exposure to predictive analytics, AI-driven segmentation, or propensity modeling.
- Experience in domains such as retail, subscription, financial services, or customer engagement-heavy industries.
- Competitive compensation aligned with experience and market standards
- Remote-first working model with flexibility across locations in India
- Opportunity to work on cutting-edge customer data and personalization platforms
- Exposure to global clients and modern data ecosystems (Snowflake, CDPs, AI-driven marketing stacks)
- Strong learning and career growth opportunities in a high-growth, engineering-led environment
- Collaborative, ownership-driven culture with cross-functional autonomy
- Access to complex, large-scale data challenges with real business impact.
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.
Preferred:
Benefits:
Benefits
Learning Budget
Strong learning and career growth opportunities in a high-growth, engineering-led environment
Remote-Friendly
Remote-first working model with flexibility across locations in India
Jobgether runs the largest remote job platform, effectively linking job seekers with over 200,000 flexible and remote opportunities that match their unique skills and preferences. Our focus is on enhancing the hiring process, ensuring efficiency while prioritizing the candidate experience, particularly in the growing health and wellness sector.
- Founded
- Founded 2020
- Employees
- 11-50 employees
- Industry
- Professional Services