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Zachary Piper Solutions is seeking a Resident Solutions Architect (RSA) to support a next‑generation data and AI modernization program for a federal‑focused enterprise customer. This position is 100% on‑site in McLean, VA. The RSA will work directly with customer engineering teams to design, build, and operationalize large‑scale data platforms, distributed compute environments, and AI‑driven applications. This role is ideal for a senior data engineer or architect who thrives in customer‑facing engagements and enjoys solving complex technical challenges across cloud, analytics, and big‑data ecosystems.
Job Responsibility:
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
Collaborate with project managers, architects, and engineering teams to ensure all technical deliverables meet customer requirements
Contribute to CI/CD workflows, production deployment strategies, and MLOps practices
Document architectures, whiteboard solutions, and communicate technical concepts clearly to stakeholders
Maintain billable utilization targets while delivering exceptional customer service and technical execution
Requirements:
U.S. citizenship, Active DHS EOD Clearance
6+ years of experience in data engineering, data platforms, or analytics
Strong coding proficiency in Python or Scala
Deep experience with Apache Spark™ and distributed computing concepts
Working knowledge of at least two major cloud platforms (AWS, Azure, GCP) with expertise in one
Experience designing and deploying end‑to‑end data architectures
Familiarity with CI/CD pipelines and production deployment workflows
Working knowledge of MLOps concepts and tooling
Experience delivering technical projects, managing scope, and meeting timelines
Strong documentation, whiteboarding, and communication skills
Experience working directly with customers, including conflict resolution and expectation management
Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent experience
Ability to travel up to 30% as needed
Nice to have:
Experience with modern data lakehouse architectures or similar platforms
Background in consulting, professional services, or customer‑facing engineering roles
Experience with large‑scale data migrations or modernization initiatives
Familiarity with data governance, security, and compliance frameworks
Strong troubleshooting and performance optimization skills across distributed systems
What we offer:
Competitive salary range (depending on experience and location zone)
Eligibility for annual performance bonus and equity programs
Comprehensive benefits package including PTO, paid holidays, medical, dental, vision, 401(k), and sick leave
On‑site work in McLean, VA with potential travel flexibility