Solution Architect designing data lakehouses, warehouses, and batch and streaming pipelines on Databricks and Apache Spark across AWS, Azure, or GCP. Also supports presales work including RFPs, proposals, and proofs of concept, and works with sales teams. Mentors engineers and reviews architectures and code.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Solution Architect based in the United States.
The Solution Architect will lead the design and implementation of modern, scalable data platforms and AI-driven solutions for enterprise clients across multiple industries.
You will translate complex business requirements into robust technical architectures that support data modernization and measurable business outcomes.
Working across the full data lifecycle, you will oversee data engineering strategies, cloud infrastructure, and advanced analytics implementations.
You will leverage Databricks and cloud technologies to build high-performance data lakes, warehouses, and pipelines.
In addition to providing technical leadership, you will collaborate with sales and account teams to shape client engagements, proposals, and technical demonstrations.
This role offers the opportunity to work on complex transformation projects, introduce emerging technologies, and mentor engineering teams in a collaborative, innovation-driven environment.
How Jobgether works:
We use an
AI-powered matching process
to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice:
By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
#LI-CL1
