11 дней назад
Data Engineering Technical Lead (Salesforce)
171 500 - 240 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineering Technical Lead (Salesforce): Building and scaling Salesforce Marketing Cloud and Data Cloud platforms, data pipelines, APIs, and a knowledge graph for B2B partner marketing with an accent on data modeling, identity resolution, and AI orchestration. Focus on architecting zero-copy integrations, reliable batch and streaming processing, LLM workflows, and platform-wide engineering standards.
Location: Chicago, Illinois, United States
Salary: $171,500–$240,000 annually in Chicago, with potential pay up to $274,500.
Company
is a global travel company connecting travelers, partners, and advertisers through consumer brands, B2B services, and travel advertising.
What you will do
- Lead end-to-end Salesforce Marketing Cloud and Salesforce Data Cloud initiatives for B2B partner marketing.
- Architect data models, identity resolution rules, unified profiles, and a knowledge graph connecting partner, property, contact, and campaign entities.
- Design and operate batch and streaming ETL/ELT pipelines, APIs, data services, and orchestration workflows.
- Build zero-copy integrations between Salesforce Data Cloud and external data lakes such as AWS and EGDL.
- Integrate AI and LLM capabilities into marketing workflows, including enrichment, classification, content generation, and agentic automation.
- Set platform reliability standards, review designs and pull requests, mentor engineers, and coordinate with marketing, data science, and Salesforce stakeholders.
Requirements
- Bachelor’s degree in Computer Science or a related field, or equivalent professional experience.
- 10+ years building and operating enterprise software platforms, including hands-on Salesforce Data Cloud, Salesforce Marketing Cloud, or comparable MarTech experience.
- Strong SQL and data engineering skills, with 5+ years of programming experience in Python, Java, or Scala.
- Experience with AWS services, cloud data warehouses, Spark, Kafka or SQS, Airflow, dbt, and large-scale data modeling.
- Experience with LLMs and GenAI services, including prompt design, RAG, vector stores, output evaluation, and agentic AI development.
- Experience leading complex technical projects independently and mentoring engineers.
Nice to have
- Experience migrating from Marketo, Message Gears, or similar platforms to Salesforce Marketing Cloud.
- Experience with zero-copy data architecture, knowledge graphs, ontology design, entity resolution, and graph databases.
- Experience with Salesforce metadata CI/CD, B2B marketing platforms, audience segmentation, data governance, and Salesforce certifications.
Culture & Benefits
- Medical, dental, and vision coverage.
- Paid time off and an Employee Assistance Program.
- Wellness and travel reimbursement.
- Travel discounts and IATAN membership.
- Inclusive and accessible recruiting experience with accommodation support.
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