Senior Data Product Lead

Are you passionate about transforming data into impactful products? We are seeking an experienced and driven Senior Data Product Engineer for a permanent opportunity in Irving, TX. In this role, you will leverage your expertise across data engineering, analytics, and product development to design, build, and scale data solutions that power intelligent business decisions. The ideal candidate excels at collaborating with cross‑functional teams, architecting robust data pipelines, and utilizing modern cloud technologies.

Your strong skills in SQL, Python, data modeling, and ETL processes, combined with your ability to communicate complex concepts to diverse stakeholders, will help us deliver high‑value product features and insights at scale.

• 9-11 years of experience in data engineering, including experience in designing and building data pipelines.
• Strong programming skills in one or more languages and tools, such as Python, DBT, Airflow, GIT.
• Strong proficiency in data engineering technologies, such as ETL/ELT frameworks, CI/CD, big data processing, and SQL/Snowflake and No
  
  SQL databases.
• Deep understanding of database systems, data modeling, and data warehousing.
• Strong proficiency in building analytical dashboards using Power
  
  BI/Tableau.
• Experience with cloud-based data storage and processing technologies, such as AWS, Azure, or Google Cloud.

• Lead the design and development of scalable and reliable data pipelines, including data ingestion, processing, storage, and retrieval.
• Develop data models and schemas that support efficient data storage, retrieval, and analytics, employing optimization techniques to enhance query performance and scalability.
• Leverage big data technologies and frameworks (e.g., Snowflake, Data Fabric, SAP Datasphere) to process and analyze large volumes of data, enabling advanced analytics and machine learning initiatives.
• Manage and optimize data infrastructure, including cloud-based platforms, containerization technologies, and distributed computing environments.
• Work closely with other teams, including Data Science, Analytics, and Product, to understand their data needs and requirements.
• Develop and implement best practices for data modeling, storage, and retrieval.
• Ensure the security and privacy of our data and compliance with relevant regulations.
• Develop and maintain documentation for all data processes and systems.
• Evaluate new technologies and tools for data processing, storage, and retrieval and recommend solutions to improve the efficiency and scalability of our data infrastructure.
• Propose and lead continuous improvement opportunities.
• Mentor team members to develop their technical and leadership skills.

• Bonus eligible

You will receive the following benefits:

• Medical, Dental, and Vision Insurance
• Vacation Time

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.