Cloud Data Architect

🕒 Setembro 17

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $140.250 - $189.750 / ano

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

🚰 Engenheiro de Dados

🦅 Patrocina Visto H1B

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👻 Score fantasma 3%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

Amazon Redshift

Cloud

Hadoop

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Logo of General Dynamics Information Technology

General Dynamics Information Technology

10.000+ funcionários

Fundada em 1954

💼 Consultoria

🏥 Saúde

📦 Logística

Consulting • Healthcare • Logistics

A General Dynamics Information Technology é uma empresa na vanguarda da inovação tecnológica, oferecendo uma ampla gama de serviços, incluindo consultoria, modernização digital e serviços de aplicações. A empresa atua fortemente na implementação de soluções relacionadas a Inteligência Artificial (IA), Cloud Computing, Cybersecurity, High-Performance Computing (HPC) e tecnologias quânticas. A GDIT é comprometida em apoiar os setores governamental e de defesa, fornecendo serviços críticos para a missão, como logística e gestão da cadeia de suprimentos, inteligência e segurança interna. A empresa também prioriza práticas de contratação diversas e inclusivas e promove ativamente o bem-estar dos colaboradores. Por meio de suas soluções de aceleração digital e do uso pioneiro de tecnologias emergentes, a GDIT busca impulsionar as missões das agências e enfrentar desafios tecnológicos complexos.

Descrição

• Design and support the architecture of a program-wide data warehouse • Lead data warehouse project work to ensure requirements, timelines, and deliverables are met • Perform unit, validation, and regression testing • Ensure delivered code meets user specifications • Provide technical architecture expertise for planning, estimation, and solution design • Work across teams and stakeholders to define requirements and validate testing processes • Design scalable, multi-layer warehouse patterns across landing, transformed, standardized, curated, and analytics layers • Model and integrate healthcare data domains using X12, ICD-10, CPT/HCPCS, NDC, DRG, HL7, and FHIR • Build data structures and features supporting fraud, waste, and abuse analytics with full data lineage • Implement HIPAA-compliant governance for PHI/PII, including RBAC/ABAC, masking, row-level security, tagging, auditing, and lineage tracking • Contribute to System Design Documents, data dictionaries, and source-to-target mappings • Architect normalized and denormalized data solutions using design best practices • Design and develop scheduling workflows and automation processes • Support continuous improvement of processes, tools, and engineering approaches • Support the Centers for Medicare and Medicaid Services mission by helping combat healthcare fraud, waste, and abuse • Travel less than 10%

🎯 Requisitos

• Bachelor of Arts/Bachelor of Science • 8+ years of related experience • Demonstrated experience designing scalable data warehouse environments • Strong understanding of data structures and data modeling • Knowledge of Kimball and Inmon data-warehousing methodologies • Proficiency with Snowflake healthcare data warehouse architecture • Cloud data engineering experience with Snowflake • Experience with data protection, least-privilege access, role- and attribute-based access controls, encryption, audit logging, secure data sharing, retention, and incident-response support • Experience with Git-based repositories such as Bitbucket, CodeCommit, and GitHub • Hands-on experience with CI/CD pipelines across dev/test/prod • Experience with cloud data processing services • Understanding of serverless architecture • Experience with automation testing • Strong communication and teamwork skills • Ability to take ownership and accountability • Ability to quickly learn new technologies • Experience working in Agile/Scrum environments using Jira and Confluence • Experience with healthcare claims data • Experience with Hadoop, EMR, Redshift, and Databricks • Experience building FWA analytics • Knowledge of HIPAA governance frameworks for PHI/PII • Familiarity with machine-learning and AI concepts • Experience designing investigator-ready datasets with full traceability • Working knowledge of healthcare data domains including medical and pharmacy claims, eligibility and enrollment, provider, member/patient, encounters, authorization, and payment data • US citizenship is not required • Clearance is not required

🏖️ Benefícios

• Comprehensive benefits and wellness packages • 401K with company match • Competitive pay • Paid time off • Full-flex work weeks • AI-powered career tool identifying career steps and learning opportunities • Internal mobility team supporting career goals • Medical plan options, including plans with Health Savings Accounts • Dental plan options • Vision plan options • Vacation, sick, personal, holiday, paid parental, military, bereavement, and jury duty leave • Up to 160 hours of paid family leave in a rolling 12-month period for eligible employees • Short- and long-term disability benefits • Life insurance • Accidental death and dismemberment insurance • Personal accident insurance • Critical illness insurance • Business travel and accident insurance • Award-winning culture of innovation • Military-friendly workplace

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