Lead Solution Architect - Data and Analytics
Job Description
Responsibilities:
Serve as a strategic leader responsible for designing enterprise-grade data and analytics solutions that enable data-driven decision-making across the organization.
Lead the architecture and delivery of complex data and analytics platforms aligned with business and technology strategy.
Collaborate with senior stakeholders to define solution scope, business requirements, and success metrics.
Design and optimize data models, pipelines, and integration frameworks to support advanced analytics and reporting.
Establish and enforce data governance, quality, and compliance standards across platforms and teams.
Provide technical leadership and mentorship to architects and engineering teams, fostering innovation and excellence.
Evaluate emerging technologies and trends in data and analytics, recommending adoption strategies where appropriate.
Qualifications
Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science
Certifications
Certified Data Management Professional - RiversandRiversand, IBM Certified Solution Developer - WebSphere IIS DataStage Enterprise Edition v7.5 - IBMIBM, Informatica Certified Administrator - InformaticaInformatica, TOGAF 9 Certification - The Open Group Architecture Framework (TOGAF)The Open Group Architecture Framework (TOGAF)
Required Skills
Business Intelligence (BI), Cluster Analysis, Cost Reduction Solutions, Data Integration, Data Management, High Volume Replication, Master Data Management, Metadata Management, Solution Architecture, Solutions Design
Language
English
Language Proficiency -
Advanced - C1
Additional Job Location -
Job Type
Regular
Master Skill List -
Data and Analytics - Solutioning
Remote Type -
Remote
Work Shift -
Any (United States of America)
The approximate annual base compensation range for this position is:
165,300 to 235,000 USD
"Los Angeles California-based candidates are not eligible for this role"
The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant's experience, knowledge, skills, and abilities; geographic location; and internal equity.
