Job Title: Senior Data Warehouse Architect
Company: Eliassen Group
Location: Hybrid - Virgina, MD
Job Type: Contract| Contract-to-Hire
About Eliassen Group:
At Eliassen Group, we empower companies to innovate and thrive by providing top-tier technology and business consulting services. Our team of experts helps organizations navigate complex challenges, enabling them to achieve their strategic goals. We are currently seeking a Senior Data Warehouse Architect to support a critical legacy system modernization project for one of our esteemed clients.
Job Description:
Eliassen Group is looking for a highly experienced Senior Data Warehouse Architect to join our team for a legacy system modernization project. The ideal candidate will have extensive experience in data modeling for large enterprise systems and a proven track record in system modernization or migration initiatives. You will play a pivotal role in analyzing legacy systems, designing modern data solutions, and leading small group sessions to drive analysis and design efforts.
Key Responsibilities:
- Lead the data modeling efforts, including both logical and physical data modeling, to support the modernization of legacy systems.
- Perform detailed, bottom-up analysis and reverse-engineering of existing legacy systems and their data structures to understand and document current state.
- Apply strategic (top-down) design thinking to develop future-state data architectures that align with business goals and technical requirements.
- Collaborate with cross-functional teams to frame complex problems, define solution options, and drive data architecture initiatives in ambiguous or "gray space" scenarios.
- Facilitate and lead small group sessions to drive analysis and design discussions, ensuring alignment with project goals and timelines.
Must-Have Skills:
- 7+ years of hands-on experience with logical and physical data modeling in large enterprise environments.
- Proven experience in system modernization and/or system migration projects.
- Strong ability to perform detailed analysis and reverse-engineering of legacy systems.
- Demonstrated strategic thinking skills, with the ability to design and architect complex data solutions.
- Excellent communication and leadership skills, with the ability to lead small group sessions and work collaboratively with stakeholders.
Nice-to-Have Skills:
- Experience in data modeling for large, complex systems.
- Expertise in enterprise data modeling, enterprise data architecture, and information architecture.
- Knowledge of financial services, particularly in consumer credit or customer management.
- Experience in designing API, streaming, or event-based solutions.
- Strong data profiling and data analysis skills.
