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Senior Snowflake Data Engineer

BravoTech

Plano, TX

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JOB DETAILS
SKILLS
AWS Lambda, Amazon Relational Database Service (RDS), Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Analysis Skills, Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Automation, Business Intelligence, Cloud Computing, Cloud Storage, Code Reviews, Computer Programming, Computer Science, Continuous Deployment/Delivery, Continuous Improvement, Continuous Integration, Data Analysis, Data Management, Data Modeling, Data Processing, Data Quality, Data Science, Data Sets, Data Warehousing, Documentation, Finance, Git, GitHub, Identify Issues, Incident Response, Information Technology & Information Systems, Machine Learning, Machine Tool, Marketing, Metadata, Metrics, Performance Metrics, Production Support, Production Systems, Python Programming/Scripting Language, Quality Management, SQL (Structured Query Language), Scalable System Development, Snowflake Schema, Software Agents, Software Engineering, Stewardship, Supply Chain Operations, Team Player, Training Data Sets, United States Citizen, Use Cases
LOCATION
Plano, TX
POSTED
30+ days ago
Senior Snowflake Data Engineer
Location: Plano, TX
Employment Type: Full-Time
Location:  Onsite 4 days (Monday – Thursday)
Citizenship: US Citizen or GC
We are seeking a Senior Data Engineer to help build and scale a modern cloud data platform that powers analytics, reporting, machine learning, and future AI initiatives. This role is ideal for a hands-on data professional who enjoys creating trusted data products, improving data quality, and partnering with business leaders to turn complex data into reliable, business-ready insights.
In this role, you will design scalable data models, build and maintain analytics-ready datasets, support enterprise reporting, and help establish strong governance practices across the organization. You will work closely with teams across Finance, Marketing, Operations, Supply Chain, Digital, and other business functions to deliver data solutions that drive measurable business impact.
What You’ll Do
  • Design, develop, and maintain scalable DBT models and analytics-ready datasets.
  • Build reusable dimensional, semantic, and enterprise data models.
  • Write and optimize complex SQL transformations across large datasets.
  • Develop Python-based tools for data quality, automation, validation, and platform operations.
  • Own data products and pipelines from design through production support.
  • Implement data quality checks, documentation, lineage, monitoring, and observability standards.
  • Partner with stakeholders to define KPIs, metrics, business definitions, and trusted data assets.
  • Support data governance initiatives, including metadata, ownership, stewardship, and certification.
  • Help prepare enterprise data assets for future AI, machine learning, and advanced analytics use cases.
Requirements
  • 7+ years of experience in Data Engineering, Analytics Engineering, Software Engineering, or a related field.
  • Strong SQL experience, including complex analytical transformations at scale.
  • Hands-on DBT experience, including modeling, testing, documentation, CI/CD, and deployment workflows.
  • Strong Python programming skills for data processing, automation, APIs, and tooling.
  • Experience designing dimensional, semantic, and analytics-focused data models.
  • Experience building and optimizing large-scale data pipelines and cloud-based data platforms.
  • Strong understanding of modern ELT practices and data warehouse architecture.
  • Experience with Git-based development workflows and code review processes.
  • Experience supporting BI, analytics, and self-service reporting environments.
  • Experience supporting production data environments, incident response, and operational troubleshooting.
  • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Data Science, or a related field, or equivalent practical experience.
Preferences
  • Experience with Snowflake, AWS, Airflow or Astronomer, Fivetran, RudderStack, GitHub, and modern BI platforms.
  • Experience with data governance tools such as Atlan, Collibra, or similar platforms.
  • Familiarity with metadata management, lineage, stewardship, and enterprise data quality practices.
  • Experience defining business metrics, KPI standards, and enterprise data definitions.
  • Exposure to AWS services such as S3, RDS, Lambda, or related cloud storage and processing technologies.
  • Interest in AI-enabled analytics, semantic layers, retrieval-based architectures, AI agents, or intelligent automation.
Why This Role
This is an opportunity to take ownership of high-impact data products, influence the future of a modern data platform, and help shape the foundation for analytics, governance, and AI-enabled capabilities. You will work in a collaborative environment that values ownership, innovation, continuous improvement, and practical execution.

 

About the Company

B

BravoTech

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