Job Description: Position: Senior Data Scientist Location: 3200 HACKBERRY RD IRVING, TX 75063 Key Responsibilities: · Lead the design, architecture, and implementation of key data initiatives and platform capabilities while ensuring alignment with business needs and scalability requirements. · Optimize existing data workflows and systems to improve performance, cost-efficiency, identifying and guiding teams to implement innovative solutions. · Lead and mentor junior data engineers, providing guidance on technical best practices, career development, and initiative execution. · Lead cross-functional projects, collaborating with product managers, analysts, solutions architects, and other stakeholders to define requirements, prioritize tasks, and deliver high-quality solutions. · Communicate effectively with non-technical stakeholders to understand business needs, translate them into technical specifications, and present technical concepts in a clear and concise manner. · Stay up-to-date with the latest data engineering technologies, trends, and best practices, evaluating and recommending new tools and approaches to immediate teams and the broader organization. · Contribute to the development of data engineering standards, processes, and documentation, promoting consistency and maintainability across teams while enabling business stakeholders. Basic Qualifications: · Bachelor’s degree or equivalent in Computer Science, Mathematics, Software Engineering, Management Information Systems, Computer Engineering/Electrical Engineering, or any Engineering field or quantitative discipline such as Physics or Statistics. · Minimum 6 years of relevant work experience in data engineering, with at least 2 years in a data modeling. · Strong technical foundation in Python, SQL, Spark/Pyspark and experience with cloud platforms (for example, AWS, Azure,). · Deep understanding of data engineering fundamentals, including database architecture and design, Extract, transform and load (ETL) processes, data lakes, data warehousing, and both batch and streaming technologies. · Experience with data orchestration tools (e.g., Airflow), data processing frameworks (e.g., Spark, Databricks), and data visualization tools (e.g., Tableau, Power BI). · Proven ability to lead a team of engineers, fostering a collaborative and high-performing environment. · Good communication, interpersonal, and presentation skills, with the ability to effectively communicate with both technical and non-technical audiences. Extra Credit: · Experience with Databricks platform. · Experience with CDP platforms like HighTouc