Resident Solution Architect (CLEARED) - 160037
Zachary Piper Solutions - McLean, VA
Hiring: Resident Solution Architect (CLEARED) - 160037 Company: Zachary Piper Solutions Location: McLean, VA Job Posted Time: 2026-09-17 01:56:51 Employment Type: On-site Target Skills & Keywords : AWS, Azure, CI/CD, Cloud Native, Data Lakehouse, Data Pipeline, Databricks, Docker, GCP, IAM, IaC, Infrastructure as Code, Kubernetes, LLM, MLOps, Machine Learning, Project Management, Python, RSA, Scala, Secret Clearance, Security Clearance, Spark, Terraform, VPC About the job Experience: •6+ years of experience in data engineering, data platforms, or analytics Required Skills: •Lead short‑ and medium‑term customer engagements focused on data engineering, analytics, and cloud architecture •Design and implement scalable reference architectures, data pipelines, and distributed compute solutions •Guide customers through modernization efforts, migrations, and end‑to‑end deployment of big‑data and AI workloads •Provide architectural consulting, technical design guidance, and best practices for successful platform adoption •Deliver hands‑on development using Python or Scala, including Spark‑based distributed processing •Support integration of cloud services across AWS, Azure, or GCP environments •Provide escalated technical support for customer operational issues and drive rapid resolution •Partner cross-functionally with project managers, architects, and engineering teams to ensure all technical deliverables meet customer requirements Qualifications: •Strong coding proficiency in Python or Scala •Deep experience with Apache Spark™ and distributed computing concepts •Solid functional working knowledge of at least two major cloud platforms (AWS, Azure, GCP) with expertise in one •Operational familiarity with CI/CD pipelines and production deployment workflows •Solid functional working knowledge of MLOps concepts and tooling •Strong documentation, whiteboarding, and communication skills •Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent experience •Demonstrated capacity to travel up to 30% as needed Compensation: •Flexible work environment (work from home / hybrid options) •Competitive benefits and rewards package •Eligibility for annual performance bonus and equity programs Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!