Remote Solutions Architect

Summary

Join a leading consulting and information technology solutions provider as a remote Solutions Architect to lead and manage a high-profile team in data science/machine learning efforts, working with diverse professionals to solve matters, detect nuisances, and come up with alternatives.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Science, or related field
• 8+ years of experience developing enterprise data warehouse / lake solutions
• 5  years experience and understanding of and experience with SDLC methodology and Agile project management, and working with the Federal Government
• Possesses broad knowledge across the entire analytics lifecycle, particularly around data engineering, databases, governance and end-user workflows (e.g. analytics and data science), including advanced knowledge of products and services that are fueling data driven decision making and how they can be leveraged to support cross-functional workflows
• Demonstrated knowledge of data science/ machine learning concepts and experience working with data scientists in the design and implementation machine learning applications
• Demonstrated experience working with Agile framework and facilitating all Agile Scrum ceremonies including designing EPIC / User stories, sprint backlog grooming, daily stand-up meetings, sprint reviews and retrospectives
• AWS Certification preferred
• Must be a US citizen
• Must be able to obtain and maintain a Public trust security clearance

Responsibilities

• Lead the development and enhancement of a shared enterprise data environment that meets a diverse set of Analytics, Reporting, and Data Science federal requirements
• Engage with clients and use a variety of information gathering techniques (e.g., interviews, facilitation, diagrams) to gather complex business data requirements from Business teams
• Lead design reviews of data deliverable such as models (conceptual, physical, and logical), data flows, and data quality assessment and promote data modeling standardization, defines, and drives adoption of the standards and data governance practices
• Analyze requirements in relation to available data, assesses source system data quality, and analyze schemas to meet performance requirements
• Design and maintain a master data management strategy that accounts for all aspects of data management including data ownership, security, and data administration
• Oversee data base administration and engineering to align to a data-as a service approach
• Ensure high quality data deliverable artifacts are provided, which may include documentation to include formal process mapping, glossaries, data dictionary, functional and non-functional requirement specifications, technical design, key performance indicators, system testing and implementation activities
• Support the proposal response process, from participating in solutioning to proposal writing, code challenges, reviewing and development as needed