Resident Solution Architect (CLEARED) - 160037

Piper Companies

McLean (VA)

On-site

USD 150,000 - 210,000

Full time

14 days+
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Benefits offered by this job

On-site work in McLean, VA
Comprehensive benefits
Paid time off
Dental, medical, vision
401(k)
Sick leave

Job summary

Zachary Piper Solutions seeks a Resident Solutions Architect to support a federal-focused data modernization program in McLean, VA. You will design, build, and operationalize large-scale data platforms and AI workloads, collaborating with customer teams and guiding modernization efforts.

Ideal for a senior data engineer/architect with expertise in Python/Scala, Spark, and cloud ecosystems, with DHS clearance and on-site presence required.

Qualifications

  • Active DHS EOD clearance required.
  • 6+ years of data engineering, data platforms, or analytics.
  • Strong coding in Python or Scala.
  • Deep experience with Apache Spark and distributed computing.
  • Experience with two major cloud platforms (AWS/Azure/GCP) and expertise in one.
  • End-to-end data architectures design and deployment.
  • Familiarity with CI/CD pipelines and production workflows.
  • MLOps concepts and tooling knowledge.
  • Experience delivering technical projects and managing timelines.
  • Strong documentation and client-facing communication skills.
  • Bachelor's degree in CS/IS/Engineering or equivalent.
  • Ability to travel up to 30%.

Responsibilities

  • Lead engagements focused on data engineering, analytics, and cloud architecture.
  • Design scalable architectures, data pipelines, and distributed compute solutions.
  • Guide modernization efforts and end-to-end deployment of big-data and AI workloads.
  • Provide architectural consulting and best practices for platform adoption.
  • Hands-on development using Python or Scala (Spark).
  • Integrate cloud services across AWS, Azure, or GCP environments.
  • Provide escalated technical support and rapid resolution.
  • Collaborate with PMs, architects, and engineers to meet requirements.
  • Contribute to CI/CD workflows and MLOps practices.
  • Document architectures and communicate complex concepts clearly.

Skills

Python
Scala
Spark
CI/CD
MLOps
Cloud platforms
Communication

Education

Bachelor's degree

Tools

Databricks

Job description

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.

ACTIVE DHS EOD CLEARANCE REQUIRED

Primary Responsibilities:
  • 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
Required Qualifications:
  • 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
Preferred Experience (Not Required):
  • 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
Compensation & Benefits:
  • 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
Keywords:

resident solutions architect, rsa, data engineer, data architect, big data engineer, spark engineer, python developer, scala developer, apache spark, distributed computing, lakehouse, databricks, data pipelines, data platform engineer, cloud engineer, aws engineer, azure engineer, gcp engineer, cloud architecture, cloud native, data modernization, data migration, mlops, ci/cd, devops, infrastructure as code, iac, terraform, professional services, consulting engineer, customer facing engineer, reference architectures, data analytics, data science, machine learning integration, ai integration, generative ai, llm, large language models, python, scala, cloud ecosystems, aws, azure, gcp, kubernetes, docker, containers, distributed systems, performance optimization, documentation, whiteboarding, technical delivery, project management, federal, government, clearance, us person, security clearance, secret clearance, dhs eod, onsite, mclean va, data engineering, data architecture, cloud ops, platform engineering, modern stack, observability, logging, monitoring, cloud security, networking, vpc, iam, enterprise data, mission critical systems

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