Data Science Manager (Data Architect)

Title: Data Science Manager (Data Architect) Location: Richardson TX (Hybrid T/W/TH) Duration: 3 + Months Contract (with possible extension) Schedule: M-F 8am - 5pm Pay Rate: $60 - $67/hr. Software skills: AWS or Azure Snaplogic, DBT, Spark, and Apache Airflow Snowflake, PostgreSQL, Vector DB, and SQL Server Description We are searching for a seasoned Data Architect to guide the strategic design, implementation, and enhancement of our enterprise data platform. This role is ideal for someone who excels at building scalable data solutions, supports advanced AI/ML workflows, and thrives on driving innovation within cloud-native systems. The right candidate brings proven leadership in data engineering, cloud architecture, and hands-on experience with state-of-the-art tools. Responsibilities • Design and deploy scalable data solutions utilizing cloud platforms and cutting-edge technologies. • Lead the development and optimization of robust data pipelines to power AI/ML initiatives. • Work alongside data scientists and AI teams to ensure seamless data integration and processing. • Engage with business stakeholders, analysts, and data scientists to define data models and operational workflows. • Oversee efforts to improve data quality through validation processes and automated data cleansing. • Mentor and manage a team of data engineers, fostering a culture rooted in innovation and continual learning. • Assess and adopt emerging data technologies to continually boost our engineering capabilities. • Maintain compliance with industry data security standards and regulatory requirements, especially in the financial sector. • Analyze, review, and update programs to optimize efficiency and adapt to changing business needs. • Document program development, logic, coding, and corrections thoroughly. • Collaborate and communicate effectively with global teams across various time zones. Must Have Skills: • Comprehensive understanding of cloud services on platforms like AWS or Azure. • Familiarity with machine learning frameworks and algorithms. • Strong background in data modeling, database management (SQL/NoSQL), and API development. • Experience implementing data governance and quality management strategies. • Excellent communication skills for bridging technical and business teams. • Knowledge of BI platforms and data visualization tools. Nice to have skills: • Experience in asset management or financial services. • Background with enterprise-level data platforms and AI/ML integration. • Familiarity with regulatory compliance in financial data environments. Required Qualifications • Bachelor’s degree in information systems, Mathematics, Computer Science, or related fields. • 12+ years’ experience in data engineering, including at least 1 year in leadership capacity. • Advanced proficiency in Python or similar programming languages. • Extensive experience with databases such as Snowflake, PostgreSQL, Vector DB, and SQL Server. • Expertise in data processing tools like Snaplogic, DBT, Spark, and Apache Airflow. • Comprehensive understanding of cloud services on platforms like AWS or Azure. • Familiarity with machine learning frameworks and algorithms. • Strong background in data modeling, database management (SQL/NoSQL), and API development. • Experience implementing data governance and quality management strategies. • Excellent communication skills for bridging technical and business teams. • Knowledge of BI platforms and data visualization tools. • Preferred Skills • Experience in asset management or financial services. • Background with enterprise-level data platforms and AI/ML integration. • Familiarity with regulatory compliance in financial data environments.