Manager of Data Engineering

TechHuman; Kansas City (MO); On-site; Full time

Job summary

A technology company is seeking a Manager of Data Engineering & Analytics to lead and enhance data pipelines critical for Marketing initiatives. The ideal candidate will have over 10 years of experience, with strong expertise in Snowflake and Google Cloud Platform. Responsibilities include overseeing data engineering initiatives across omnichannel environments, managing offshore vendors, and delivering actionable insights to marketing teams. This is a 6-month contract to hire position, with relocation required to Missouri after conversion.

Qualifications

• 10+ years of experience in data engineering, including pipeline creation, ELT processes, data cleansing.
• Hands-on experience with Snowflake, including schema design.
• Experience working with marketing analytics and Google Analytics datasets.

Responsibilities

• Lead data engineering initiatives across Omnichannel and eCommerce environments.
• Oversee design and optimization of ELT pipelines using large-scale datasets.
• Manage offshore vendors and ensure project deliverables and budget management.

Skills

Data engineering

Pipeline creation

Data cleansing

Snowflake expertise

Google Cloud Platform

Real-time data streaming

Marketing analytics

Business analysis

Education

Bachelor’s degree in Computer Science or related field

Tools

Snowflake

Google Cloud Platform

Domo

Sigma

Kafka

Job description

We’re seeking a Manager of Data Engineering & Analytics to lead the development, enhancement, and delivery of data pipelines, analytics solutions, and customer‑focused data products which power key Marketing and eCommerce initiatives. This role oversees Snowflake and GCP‑based environments, manages offshore vendors, and partners closely with Marketing to provide actionable insights and high‑quality data products. The ideal candidate blends strong data engineering expertise with an understanding of how customer and behavioral data fuel omnichannel campaigns and digital experiences.

6‑month contract to hire

Relocation is required to Missouri after conversion

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.

Must‑Haves

• 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.

Nice‑to‑Haves

• 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.