Solutions Architect
New
Remote work flexibility within the United StatesFull-TimeSenior
Salary144,245 - 165,395 USD per year
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Job Details
- Experience
- 10+ years
- Required Skills
- AWSPythonSQLGCPKubernetesAzureTerraformDatabricksDistributed Systems
Requirements
- 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
- 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
- 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)
Responsibilities
- 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
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