Senior Technology Lead, Engineering

Jobtailor

Illinois

On-site

USD 160,000 - 210,000

Full time

46 hours ago

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Job summary

Jobtailor is seeking a senior data platform architect to lead end-to-end Salesforce Marketing Cloud initiatives in Illinois. You will architect data models for SFMC and Data Cloud, and build a knowledge graph across partner, property, contact, and campaign data.

You will define ontology, identity resolution, and dedup logic, while designing data capture, storage, and distribution solutions. Expect leadership of complex projects and mentorship of engineers, with a strong emphasis on reliability

Qualifications

Bachelor's degree or equivalent professional experience in CS or related field.
10+ years building and operating enterprise software platforms.
Hands-on Salesforce Data Cloud or comparable MarTech experience.
Leadership of complex technical projects end-to-end.
Experience with SFTP, SOAP/REST, Data Extensions, CDP/Data Cloud.
Data model design for CRM/marketing platforms.
Big data pipelines: ETL/ELT, SQL, cloud warehouses.
Strong SQL and programming in Python/Java/Scala.
Experience with Spark, Airflow, dbt for processing.
5+ years programming in Python/Java/Scala.

Responsibilities

Lead design and delivery of end-to-end Salesforce Marketing Cloud initiatives.
Own data models for Salesforce Marketing Cloud and Salesforce Data Cloud.
Design a knowledge graph linking partner, property, contact and campaign data.
Define ontology, relationships, identity resolution, and dedup logic.
Build data capture, processing, storage and distribution solutions.
Maintain batch and streaming pipelines for reliability and cost-efficiency.
Expose data via APIs integrating internal platforms and marketing tools.
Integrate AI/LLM capabilities into data workflows with guards.

Skills

Salesforce Marketing Cloud

ETL/ELT Pipeline Development

Data Engineering

SQL Proficiency

Python

Java

Scala

Data Integration Patterns

Data Processing Frameworks

Leadership

Mentoring

Problem Solving

Collaboration

Communication

Education

Bachelor's degree in Computer Science or related field

Tools

Salesforce Data Cloud

AWS (S3, Redshift, Lambda)

Spark

Airflow

Kafka

SFTP

SOAP/REST APIs

CI/CD Tools

GenAI Services

Agentic AI

Job description

Lead design and delivery of complex, end-to-end Salesforce Marketing Cloud initiatives for partner marketing
Own and architect end-to-end data models for Salesforce Marketing Cloud and Salesforce Data Cloud
Design and build a knowledge graph connecting partner, property, contact, and campaign entities
Define ontology, entity relationships, identity resolution, and deduplication logic
Design, develop, and optimize data capture, processing, storage, and distribution solutions
Build and maintain reliable, observable, cost-efficient batch and streaming pipelines
Model and curate trusted datasets for marketing, analytics, and partner teams
Expose data through APIs and services integrating internal platforms and third-party marketing tools
Use AI-assisted development tools and help establish appropriate use cases
Integrate AI and LLM capabilities into marketing data workflows with evaluation and guardrails
Develop ETL/ELT pipelines from source systems through transformation and orchestration into SFMC, Data Cloud, and the knowledge graph
Architect Zero Copy integration between Salesforce Data Cloud and Expedia Group's external data lake
Establish pipeline orchestration, scheduling, monitoring, SLAs, and reliability practices
Drive platform health, change/release management, CI/CD, monitoring, and alerting
Serve as a technical resource, unblock issues, and review designs and pull requests
Mentor engineers and document platform and data architecture knowledge
Partner with marketing stakeholders, data science partners, and Salesforce contacts on implementation plans

Requirements

Bachelor's degree in Computer Science or a related technical field; or equivalent related professional experience
10+ years of experience building and operating enterprise software platforms
Hands-on experience in Salesforce Data Cloud (Data 360, Automation Studio, Journey Builder, Content Builder, SSJS/AMPscript, SOAP/REST APIs) or comparable enterprise MarTech platforms
Experience leading complex technical projects end-to-end with minimal supervision
Experience with data integration patterns including SFTP, SOAP/REST, Data Extensions, and CDP/Data Cloud
Experience architecting CRM or marketing platform data models
Data engineering experience designing and building ETL/ELT pipelines, large-scale audience and contact datasets, SQL, and cloud data warehouses
Strong proficiency in SQL and at least one data-engineering programming language such as Python, Scala, or Java
Experience with data processing frameworks and orchestration tools such as Spark, Airflow, or dbt
5+ years of hands-on programming experience with Python, Java, or Scala
Strong SQL skills and understanding of database design, data ingestion, modeling, and performance optimization
Demonstrable experience with AWS services including S3, Redshift, Lambda, Glue, DynamoDB, EC2, and AppFlow
Experience with batch or stream processing using Spark, Kafka, or SQS
Experience building with LLMs and GenAI services, prompt design, retrieval/RAG patterns, vector stores, and output-quality evaluation
Experience using agentic AI for development and task orchestration
Preferred: experience migrating from Marketo, Message Gears, or similar ESPs to Salesforce Marketing Cloud
Preferred: Salesforce Data Cloud, Zero Copy data architecture, knowledge graphs, CI/CD for Salesforce metadata, B2B marketing platforms, NBA recommendation systems, streaming/batch processing, data governance, and Salesforce Marketing Cloud certifications

Core Competencies

Demonstrates expertise in architecting and delivering complex Salesforce Marketing Cloud initiatives, including data modeling, ETL/ELT pipeline development, and integration of AI capabilities. Proficient in managing data workflows, ensuring platform reliability, and mentoring engineering teams.

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