Responsibilities

• CDP Implementation & Marketing Data Architecture: Design, implement, and maintain Customer Data Platform solutions integrating first-party, second-party, and third-party data sources.
• Build identity resolution pipelines and unified customer profiles across online and offline touchpoints.
• Architect data flows between CDPs, CRMs (Salesforce), marketing automation (Marketo), and downstream activation platforms.
• Develop and optimize ETL/ELT pipelines in GCP, Azure, and AWS using Dataflow, Composer, Azure Synapse, and AWS Data Pipelines.
• Marketing AI & Machine Learning: Design and deploy AI/ML models for customer segmentation, lead scoring, churn prediction, campaign recommendation, and content personalization.
• Implement LLM-powered marketing workflows including campaign brief generation, audience insights summarization, and AI content classification.
• Utilize GCP Vertex AI, Azure ML, and AWS SageMaker for model training, evaluation, and production deployment.
• Apply Python and data science libraries (Pandas, NumPy, Scikit-learn, LangChain) for feature engineering and ML model development.
• Salesforce & Marketo Data Engineering: Develop and maintain bi-directional integrations between Salesforce (Sales Cloud, Marketing Cloud, Data Cloud) and enterprise data platforms.
• Build Marketo data connectors for lead lifecycle management, program performance tracking, and marketing attribution.

Requirements

• 3+ years of marketing domain experience
• Proven hands-on CDP implementation experience (Segment, Tealium, ActionIQ, Adobe Real-Time CDP, or similar enterprise platforms)
• Direct experience with Salesforce Marketing Cloud, Salesforce Data Cloud, or Salesforce CRM data models
• Hands-on Marketo experience including data ingestion, program attribution, lead scoring, and API integration
• Strong understanding of marketing attribution models (multi-touch, data-driven, media mix modeling) and consumer journey analytics
• Cloud Expertise: GCP or AWS certification (Data Engineering or ML focus required); multi-cloud experience preferred
• Programming: Strong Python proficiency; experience with data science libraries and LLM/AI frameworks (LangChain, OpenAI APIs, Vertex AI)
• Database Management: Advanced SQL across BigQuery, Teradata, Snowflake, and NoSQL databases (Cassandra, DynamoDB)
• ML/AI: Working experience with ML workflows — model training, evaluation, deployment — across GCP/Azure/AWS services
• Marketing Tech Stack: Experience integrating with CDPs, CRMs, marketing automation platforms, and ad tech ecosystems (DSPs, Google Ads, Meta Ads APIs)
• Data Visualization: Hands-on Google Looker and Tableau for marketing performance reporting

Nice to Have

• Experience with Salesforce Data Cloud or Marketing Cloud Intelligence (formerly Datorama)
• Familiarity with ABM platforms (Demandbase, 6sense) and their data integration patterns
• Experience with Adobe Experience Platform (AEP) or other enterprise CDP/DMP environments
• Knowledge of Apache Spark, Airflow, or dbt for data orchestration and transformation
• Understanding of privacy-first data strategies including consent management, identity graphs, and cookie-less attribution
• Experience with Alteryx for marketing workflow automation and data preparation
• Exposure to data warehousing solutions (Snowflake, Redshift) in a marketing analytics context
• Strong understanding of data governance, security, and compliance as applied to marketing data (GDPR, CCPA)

Benefits

• Low-cost, high-quality health care options
• Collaborative and motivated coworkers who see career development and personal development as intertwined
• Opportunities for career development and personal development