Job Summary We are seeking a highly skilled and motivated Lead Data Modeler to spearhead our data architecture initiatives and drive the development of robust, scalable data models. In this pivotal role, you will lead cross-functional teams to design, implement, and optimize complex data models that support enterprise-wide analytics, business intelligence, and data management strategies. Your expertise will ensure our data systems are efficient, reliable, and aligned with organizational goals, empowering stakeholders with high-quality data insights. This is an exciting opportunity for a visionary professional passionate about shaping the future of data architecture in a dynamic environment. Responsibilities Lead the design and development of comprehensive data models that support business requirements and technical specifications across multiple platforms. Collaborate with data engineers, architects, and business analysts to define data architecture standards and best practices. Oversee the implementation of data modeling projects utilizing NoSQL databases, cloud-based architectures such as Azure Data Lake and AWS, and traditional relational database systems like Microsoft SQL Server and Oracle. Develop scalable ETL (Extract, Transform, Load) pipelines using tools like Informatica, Spark, and Hadoop to facilitate efficient data integration and warehousing solutions. Ensure optimal performance tuning and scalability of database systems by applying advanced techniques in SQL optimization, system design for system development, and performance monitoring. Drive master data management initiatives to maintain high-quality, consistent enterprise data assets across all platforms. Lead efforts in cloud infrastructure deployment for database architecture, including cloud database design on Azure and AWS environments. Promote agile methodologies within the team to accelerate project delivery while maintaining high standards of quality and compliance. Support analytics initiatives by enabling effective data modeling for big data projects, business intelligence tools, and linked data applications. Skills Extensive experience with NoSQL databases such as Cassandra or MongoDB; familiarity with Hadoop ecosystem components like Spark is highly desirable. Strong knowledge of cloud platforms including AWS (Amazon Web Services) and Azure (Microsoft's cloud platform), with hands-on experience in cloud database architecture and infrastructure management. Proficiency in programming languages such as Java and Python for developing scalable data solutions; experience with Bash (Unix shell) scripting is a plus. Deep understanding of SQL-based systems including Microsoft SQL Server and Oracle; proven ability to design efficient database schemas and optimize complex queries. Expertise in ETL process development using Informatica or similar tools; experience with Data warehousing design and implementation is essential. Skilled in system design for system development projects focusing on large-scale data management integration, scalability, performance tuning, and analytics. Knowledge of linked data principles to enable semantic interoperability across diverse datasets; familiarity with big data technologies like Hadoop is advantageous. Experience managing master data management (MDM) initiatives to ensure consistent enterprise-wide data quality. Strong analytical skills combined with a passion for innovative solutions in big data environments; ability to translate complex requirements into effective technical designs. Join us as a Lead Data Modeler to shape the future of our enterprise data landscape! Your expertise will be instrumental in building resilient systems that power insightful analytics while supporting our organization's growth ambitions. We're committed to fostering an environment where your skills can thrive—driving innovation through cutting-edge technology solutions!

Pay:

$63.02 - $75.89 per hour

Work Location:

In person