Solutions Architect at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

09 Sep, 26

Salary

165395.0

Posted On

11 Jun, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Enterprise Architecture, Cloud Architecture, Data Engineering, Databricks, Multi-cloud Strategy, API Development, Event-driven Architecture, DevSecOps, Infrastructure as Code, Kubernetes, Python, PySpark, SQL, Data Governance, Stakeholder Management, GenAI

Industry

Internet Marketplace Platforms

Description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Solutions Architect based in United States. In this role, you will act as a key technical leader responsible for defining and delivering end-to-end architecture for large-scale enterprise data and application platforms. You will shape solution strategy from early proposal and capture stages through full implementation and operationalization, ensuring systems are scalable, secure, and aligned with mission objectives. This position sits at the intersection of data engineering, cloud architecture, and enterprise integration, requiring the ability to unify complex environments into cohesive, governed platforms. You will collaborate closely with engineering teams, stakeholders, and leadership to modernize legacy systems and enable data-driven decision-making. The role also involves designing frameworks that support AI/ML and emerging GenAI capabilities within enterprise ecosystems. This is a high-impact position where your architectural decisions directly influence performance, cost efficiency, and long-term platform sustainability. \n Accountabilities: In this role, you will lead the technical vision and architecture across enterprise programs while ensuring scalable, secure, and modern platform delivery, including: Serving as the lead technical authority across large-scale initiatives from proposal through delivery and operations Designing enterprise data and integration architectures, including Lakehouse, data mesh, and medallion frameworks Defining multi-cloud strategies and hybrid integration approaches across AWS, Azure, and GCP environments Architecting API-led and event-driven systems to unify complex enterprise application ecosystems Establishing DevSecOps, CI/CD, and infrastructure-as-code practices to ensure reliable and automated delivery pipelines Designing operational models including SLAs, observability, data quality, and production support frameworks Developing reusable frameworks, accelerators, and reference architectures to improve delivery efficiency Leading Proof of Concept development and technical demonstrations for client and federal engagements Integrating AI/ML and GenAI capabilities into enterprise solutions to enable innovation and automation Producing high-quality architecture documentation, diagrams, and technical standards Mentoring engineers and contributing to organizational capability growth and technical leadership Requirements: This role requires deep experience in enterprise architecture, cloud platforms, and data engineering, combined with strong leadership and communication skills: 10+ years of experience in software engineering, data engineering, or enterprise architecture roles Strong expertise in distributed systems, integration patterns, and large-scale enterprise platforms Hands-on experience with modern data platforms such as Databricks or equivalent Lakehouse technologies Strong knowledge of ETL/ELT pipelines, streaming architectures, and data orchestration tools (e.g., Airflow, DBT) Experience with API development (REST, SOAP, GraphQL) and event-driven architectures Proficiency in multi-cloud environments (AWS, Azure, GCP) and infrastructure-as-code tools such as Terraform Experience with Kubernetes, Docker, CI/CD pipelines, and DevSecOps practices Programming proficiency in Python, Java, Scala, Go, PySpark, or SQL Experience with data governance, MDM, and data quality frameworks Familiarity with federal or regulated environments (FISMA, FedRAMP, HIPAA) is strongly preferred Strong communication and stakeholder management skills, including executive-level engagement Experience supporting proposals, solutioning, and client-facing technical presentations Bachelor’s degree in Computer Science or related field (or equivalent experience) US citizenship required and ability to pass a background investigation Benefits: Competitive salary range: $144,245 – $165,395 annually, based on experience and location Bonus eligibility and additional compensation opportunities depending on role Comprehensive healthcare coverage including medical, dental, and vision plans 401(k) with employer matching contributions Remote work flexibility within the United States Paid time off, holidays, and family leave policies Tuition reimbursement and ongoing training and certification support Health savings and flexible spending account options Life insurance, disability coverage, and employee assistance programs Strong career mobility and professional development opportunities \n 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

Responsibilities

Lead the technical vision and end-to-end architecture for large-scale enterprise data and application platforms. Design scalable, secure multi-cloud strategies and integrate AI/ML capabilities to modernize legacy systems.