Overview:
Experience Required: 10 years of experience at USDA, as a senior level solutions architect, working hands-on with USDA data architecture, analytics, and management reporting capabilities within any of the mission areas.

JOB SUMMARY:

LMI is seeking a skilled Senior Solutions Architect to support our client at USDA. This role requires performing advanced data analytics and reporting solution design and implementation. The ideal candidate will have a strong reputation as a leader in their field and be recognized by key stakeholders in the Office of the Chief Information Officer (OCIO) and mission areas.

Responsibilities:

• Lead the development and execution of strategic data analytics and reporting solutions that align with the client’s mission and objectives.
• Design and implement complex data architectures, integrating various enterprise systems.
• Collaborate with cross-functional teams to gather requirements, design solutions, and deliver high-quality data analytics and reporting systems.
• Provide technical leadership and mentorship to junior team members, fostering a culture of continuous improvement and innovation.
• Serve as a subject matter expert (SME) in data analytics and reporting, offering strategic advice and guidance to business leadership.
• Ensure compliance with data governance policies and standards, maintaining data integrity and security.
• Develop and deliver training programs to enhance the data analytics capabilities of the client staff.
• Conduct regular reviews and assessments of existing data architectures, recommending improvements and optimizations.

Qualifications:

REQUIRED QUALIFICATIONS:

• Bachelor’s degree in computer science, Information Technology, Data Science, or a related field.
• 10 years of experience working with government systems, with a focus on data analytics and reporting.
• 10 years of experience supporting USDA as an agency employee or contractor.
• Proven experience in designing and implementing complex data architectures and analytics solutions.
• Strong technical skills in data modeling, data warehousing, ETL processes, and data visualization tools.
• Demonstrated leadership skills with a track record of successfully managing and delivering large-scale projects.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at all levels.
• Ability to obtain and maintain a security clearance as required by the client.

PREFERRED QUALIFICATIONS:

• Master’s degree in a related field.
• Experience with cloud-based data analytics platforms and tools.
• Familiarity with Agile development methodologies and DevOps practices.
• Strong problem-solving and analytical skills, with a focus on data-driven decision-making.
• Experience with data governance, data quality, and data security practices.
• Knowledge of government mission areas and their specific data reporting requirements.
• Experience with systems and platforms such as: Pega, Salesforce, EDAPT AIP, Engineering Field Tools (EFT), Field Office Technical Guide (FOTG), Web Soil, Survey (WSS), Soil Data Access (SDA), NASIS (National Soil Information System), and Water and Climate Information System (WCIS).
  Target salary range: $160k-200k

• Lead the development and execution of strategic data analytics and reporting solutions that align with the client’s mission and objectives.
• Design and implement complex data architectures, integrating various enterprise systems.
• Collaborate with cross-functional teams to gather requirements, design solutions, and deliver high-quality data analytics and reporting systems.
• Provide technical leadership and mentorship to junior team members, fostering a culture of continuous improvement and innovation.
• Serve as a subject matter expert (SME) in data analytics and reporting, offering strategic advice and guidance to business leadership.
• Ensure compliance with data governance policies and standards, maintaining data integrity and security.
• Develop and deliver training programs to enhance the data analytics capabilities of the client staff.
• Conduct regular reviews and assessments of existing data architectures, recommending improvements and optimizations