Job Details

We're on a mission to make a positive impact - starting with our people.
We believe that when individuals feel valued, supported, and empowered, they produce their best work. That's why we prioritize a workplace experience rooted in purpose, growth, and balance. Our employee-first culture has led to recognition across the industry, including awards for innovation, growth, and workplace excellence.
Location: Irving, TX (Hybrid) Position Overview:
A dynamic and forward-thinking organization is looking for a Lead Data Engineer to join its Business Analytics team. This role is ideal for someone with strong hands-on experience in cloud data warehousing who is passionate about building data platforms that enable business intelligence, analytics, and data science at scale. Key Responsibilities:

• Develop a deep understanding of the organization's data ecosystem, including sources, tools, master data, and analytics assets
• Design, deploy, and manage a modern cloud-based data warehouse infrastructure
• Monitor and optimize data warehouse performance through maintenance and configuration tuning
• Design data architecture and modeling solutions, and develop scalable ETL/ELT pipelines
• Build flexible and scalable data models to support a wide range of business needs
• Define and enforce data quality standards, governance policies, and technical best practices
• Oversee the full lifecycle of cloud data warehouse and big data initiatives

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field
• 8+ years of professional experience in data architecture, warehousing, or data platform development
• Strong track record in delivering scalable and enterprise-grade data solutions
• Expertise in building conceptual, logical, and physical data models
• In-depth knowledge of data warehousing concepts, modern modeling practices, and ELT/ETL strategies
• Experience with tools like dbt and practices related to data privacy, quality, and governance
• Proven ability to lead and manage data initiatives across complex environments
• Proficiency with Snowflake
• Familiarity with BI/reporting tools such as Tableau, Power BI, or similar platforms
• Excellent technical and communication skills with the ability to manage multiple priorities across teams

• Data Engineering