Delivery Solutions Architect - Digital Native Business
J
JobgetherData and AI
Based in United StatesFull-TimeSenior
SalaryU.S. local pay range of $180,000 - $247,500 USD. Potential eligibility for an annual performance bonus. Equity eligibility as part of the overall compensation package.
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Job Details
- Experience
- 5+ years of experience in solutions architecture, solutions engineering, technical consulting, professional services, data engineering, or a related technical discipline.
- Required Skills
- PythonSQLData engineeringScalaStakeholder management
Requirements
- Have 5+ years of experience in solutions architecture, solutions engineering, technical consulting, professional services, data engineering, or a related technical discipline.
- Have experience influencing technical strategy and architecture across complex customer use cases or concurrent workstreams.
- Demonstrate strong coding proficiency in Python, SQL, Scala, or similar languages, including building, debugging, and validating technical solutions.
- Have deep understanding of distributed data systems, data engineering, analytics, data warehousing, AI/ML, and modern cloud architectures.
- Have experience designing secure, governed, scalable, production-ready data solutions.
- Be able to solve ambiguous technical problems, assess trade-offs, and validate solutions through analysis or experimentation.
- Have experience leading architecture discussions with technical leads, architects, and senior customer stakeholders.
- Understand operational excellence, including security, governance, performance, reliability, and cost optimization.
- Demonstrate ability to drive customer adoption, platform consumption, and measurable business outcomes through technical leadership.
- Have stakeholder management and cross-functional leadership skills, including the ability to influence teams without formal authority.
- Have a bachelor's degree in Computer Science, Engineering, or equivalent professional experience.
- Travel up to 30% as needed.
Responsibilities
- Define and influence technical execution strategies across complex customer use cases and multiple workstreams.
- Advise customer technical leads and architects, lead architecture discussions, and guide key technical decisions.
- Design secure, governed, scalable, production-ready data and AI architectures.
- Build and demonstrate working solutions, prototypes, and reusable technical assets.
- Establish best practices for security, governance, operational excellence, and technical reliability.
- Drive adoption and consumption by influencing architecture, removing technical blockers, and connecting execution to business outcomes.
- Align customer, implementation, and internal teams, manage risks, and accelerate delivery.
- Evaluate technical trade-offs and validate proposed solutions through analysis, experimentation, and hands-on development.
- Mentor peers and contribute reusable frameworks, guidance, demonstrations, and enablement materials.
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