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Lead Data Engineer
Lead Data EngineerMotion Recruitment • Irving, Texas, United States
Lead Data Engineer

Lead Data Engineer

Motion Recruitment • Irving, Texas, United States
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

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

Qualifications :

  • 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
  • Salary : 170-180K

    #LI-CS3

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