Resident Solution Architect (CLEARED) - 160037

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 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