Manager of Data Engineering

TechHuman is seeking a Manager of Data Engineering & Analytics to lead the development and delivery of data pipelines and analytics solutions. This role involves overseeing Snowflake and GCP environments, managing offshore vendors, and collaborating with Marketing to provide actionable insights and data products.

Responsibilities:

• Lead data engineering initiatives across Omnichannel, CDP, and eCommerce data environments, leveraging Snowflake, BigQuery, GCP Cloud Functions, and real-time streaming pipelines
• Oversee the design, creation, and optimization of ELT pipelines, particularly GFO (Google Analytics) data pipelines, powered by large-scale datasets and growing use cases
• Provide clear, actionable insights to Marketing teams and deliver dashboards/presentations to Marketing leadership
• Manage offshore vendors, including performance oversight, deliverables, headcount approvals, and budget management
• Collaborate with Product Owners and Business Analysts to translate business requirements into scalable data solutions
• Ensure high-quality data ingestion, transformation, cleansing, and integration to support marketing campaigns and customer engagement strategies
• Support and influence analytical environments using tools such as Domo, Sigma, and upcoming BI platforms
• Drive architectural decisions related to Snowflake schema design, BigQuery usage, real-time data streaming, and ELT processes
• Maintain a strong understanding of how customer behavior, digital interactions, and analytics data inform omnichannel marketing strategies

Requirements:

• 10+ Years of experience in data engineering, including pipeline creation, ELT processes, data cleansing, and large-scale dataset management
• Hands-on experience with Snowflake (schema design, performance optimization) and Google Cloud Platform, including Cloud Functions and core cloud concepts
• Experience working with customer, digital, and marketing analytics data, particularly Google Analytics behavioral datasets
• Expertise with real-time data streaming platforms such as Kafka, NiFi, or comparable technologies
• Adept ability to deliver insights and dashboards to Marketing teams and presenting to leadership stakeholders
• Proven ability to manage offshore teams or global vendors, including budget and headcount oversight
• Professional expertise gained working within the retail industry
• Bachelor's degree in Computer Science or related field
• Background using or implementing BI tools such as Domo, Sigma, Luca, or Tableau
• Additional experience with real-time streaming tools or advanced cloud-native data services
• Google Analytics data specialization or advanced knowledge of marketing attribution data