Lead Data Engineering

Role: Lead Data Engineering

Location: Richardson, TX

Full Time position

Responsibilities

• Architect and implement scalable data solutions using cloud platforms and modern data technologies.
• Lead the design, development, and optimization of scalable data pipelines for AI/ML projects.
• Collaborate with data scientists and AI teams to ensure efficient data processing and integration.
• Collaborate with data scientists, analysts, and business stakeholders to define data models and workflows.
• Oversee data quality initiatives, implementing validation rules and automated cleansing processes.
• Manage and mentor a team of data engineers, fostering a culture of innovation and continuous improvement.
• Evaluate and implement new data technologies to enhance our data engineering capabilities.
• Ensure compliance with data security standards and regulatory requirements in the financial sector.
• Analyze, review, and alter programs to improve efficiency or adapt to new requirements.
• Prepare documentation to describe program development, logic, coding, and corrections.

Required skills

• Bachelor s degree in information systems, Mathematics, Computer Science, or a related field.
• 12+ years of experience in data engineering, at least 5 years in a leadership role.
• Proficiency in programming languages like Python
• Proficiency in databases like Snowflake, PostgreSQL, Vector DB and SQL Server
• Proficiency in data processing tools like Snaplogic, DBT, Spark, Apache Airflow.
• Strong knowledge of cloud platforms (e.g., AWS, Azure) and Cloud Services.
• Strong knowledge of machine learning frameworks and algorithms.
• Solid understanding of data modeling, database management (SQL/NoSQL), and API development.
• Experience with data governance and quality management practices.
• Excellent communication skills to liaise between technical teams and business Familiarity with data visualization tools and BI platforms.
• Knowledge of asset management or financial services is highly desirable.