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Principal Data Engineer
TechHumanUnited States🇺🇸United StatesPosted 13 Jul 2026
Quick Overview
Work Type
Hybrid
Level
Leader
Job Description
We’re seeking a Principal Data Engineer to lead the development, enhancement, and delivery of data pipelines, analytics solutions, and Business Intelligence-related infrastructure. This role leads Snowflake and GCP-based environments and partners closely with several business units to provide actionable insights and high-quality data products. The ideal candidate blends strong data engineering expertise with an understanding of how to turn business data into actionable insights which generate revenue and expansion within our organization.
Responsibilities
TechHuman is an Equal Opportunity Employer and is committed to fostering an inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, gender identity, or gender expression), age, national origin, citizenship status, disability, genetic information, marital status, military status, protected veteran status, or any other status protected under applicable federal, state, or local law.
Responsibilities
- Lead data engineering initiatives across 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 other teams and deliver dashboards/presentations to leadership.
- Manage offshore vendors, including performance oversight, deliverables, headcount approvals, and budget management.
- Collaborate with a 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.
- 15+ Years of experience in data engineering, including pipeline creation, ELT processes, data cleansing, and large-scale dataset management.
- Professional experience building data pipelines in conjunction with BigQuery/Google Cloud Platform, OR hands-on experience with Snowflake (schema design, performance optimization, etc.).
- 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.
TechHuman is an Equal Opportunity Employer and is committed to fostering an inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, gender identity, or gender expression), age, national origin, citizenship status, disability, genetic information, marital status, military status, protected veteran status, or any other status protected under applicable federal, state, or local law.
Skills
GCP
Snowflake
Tableau
BigQuery
Google Cloud
Kafka
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