Sr. Solutions Architect

Overview

Remote
USD 160,000.00 - 200,000.00 per year
Contract - W2

Skills

Data Architecture
Management Reporting
Software Design
IT Management
Mentorship
Continuous Improvement
Innovation
Regulatory Compliance
Data Integrity
Training
Computer Science
Information Technology
Data Science
Analytics
Data Modeling
Data Warehouse
Extract
Transform
Load
Data Visualization
Leadership
Management
Communication
Collaboration
Security Clearance
Cloud Computing
Data Analysis
Agile
DevOps
Problem Solving
Conflict Resolution
Analytical Skill
FOCUS
Decision-making
Data Governance
Data Quality
Data Security
Reporting
Pega
Salesforce.com
EFT
Microsoft SharePoint
SDA
Law

Job Details

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

Disclaimer:

The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.

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LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact
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