Job Description
We are seeking a Data Architect / Machine Learning Advisor to join the Wildfire Consequence Modeling team. This role is ideal for a technical leader who can bridge the gap between research and practical implementation by combining expertise in data architecture, machine learning, cloud solution design, and modern data technologies.
The ideal candidate will possess deep experience with AWS and emerging cloud-native technologies, enabling them to design scalable, secure, and production-ready solutions. They will be comfortable collaborating with academically oriented researchers while bringing a strong software engineering and architectural mindset to model development, deployment, and operationalization.
Ideal Candidate Profile
Proven experience architecting, developing, and deploying machine learning and data solutions within AWS cloud environments.
Deep understanding of modern cloud-native architectures, emerging technologies, and best practices for scalable AI/ML platforms.
Strong background in both solution architecture and hands-on machine learning engineering.
Ability to evaluate business requirements and design practical, scalable, and maintainable technical solutions.
Experience translating research and analytical concepts into production-grade applications and data products.
Strong consultative skills with the ability to advise leadership on technology strategy, architecture decisions, and implementation approaches.
Excellent communication and stakeholder management skills, with the ability to effectively partner with Product Managers, researchers, engineers, and leadership teams.
Strong software engineering foundation and experience building enterprise-scale data and machine learning systems.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
Required Qualifications
• Professional experience developing and designing machine learning technologies and systems
• Strong Python skills, with experience building production grade data and ML solutions
• Experience with PySpark for large scale data processing
• Ability to both problem solve analytically and design scalable models and systems
• Comfortable operating as a hybrid Data Archiect/Data Engineer; hands on development as needed
Looking for very strong communication skills, ability to effectively communicate to leadership teams and Product Managers.
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Technical & Platform Experience
• Cloud & Data Platforms:
o AWS ecosystem, including SageMaker, S3, Lambda, Glue
o And/or experience with Snowflake
o And/or Palantir Foundry
• Architecture & Systems:
o Solution architecture for data and ML systems
o Model pipelines, APIs, and system integrations
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Geospatial & Domain Expertise
• Strong geospatial analytics experience using Python, including tools such as:
o rioxarray
o GDAL
o rasterio
o geopandas
o dask
• SQL experience supporting geospatial or analytical workloads
• Experience or strong interest in wildfire spread or consequence modeling
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Nice to Have / Preferred
• Experience in wildfire modeling, environmental modeling, or risk/consequence modeling
• Background working in applied ML environments where research transitions into production
• Experience mentoring or supporting academic researchers in applied engineering contexts
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What Makes This Role Unique
• Opportunity to balance an academically driven team with practical, solution oriented engineering
• High impact work supporting wildfire risk and consequence analysis
• Strong influence over system design and technical direction
• Blend of data science depth and software engineering rigor
Experience with geospatial analytics, environmental modeling, or wildfire-related applications is highly preferred.
Utility, risk modeling, or wildfire domain experience is a plus.
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.