Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
$172к-190к/год
$190к$210кмедиана$210к
По похожим ролям (49) ~ $210к/год
На СНГ рынке: $4.2к/мес ($3.5к - $5.5к)
68
Хорошая вакансия
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У вакансии понятная senior-роль, современные платформы для данных и ИИ и хорошие льготы, но зарплата заметно ниже рыночного ориентира, а сочетание практической разработки и работы с заказчиками делает объем задач широким.
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Ниже рынкаШирокий круг задачСовременный стекАкцент на ИИПоддержка обученияГоссектор
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data & Solution Architect (Databricks and Palantir Platforms) (Data Lakehouse/AI): Building secure, scalable data lakehouse, analytics, and AI solutions for enterprise and public-sector customers with an accent on Databricks, Palantir Foundry/AIP, real-time ingestion, and governed data products. Focus on designing RAG and multi-agent applications, productionizing MLOps and CI/CD, and solving complex security, governance, and customer delivery challenges.
Location: Hybrid in Rockville, Maryland, or remote within the continental United States (CONUS); up to 15% CONUS travel and possible on-site work at customer, government, or secure facilities.
Salary: $171,546–$189,875 per year, with potential additional compensation such as bonuses.
Company
hirify.global delivers mission-driven technology, data, analytics, and artificial intelligence solutions for enterprise and public-sector customers.
What you will do
Translate customer and mission requirements into technical roadmaps, architecture designs, implementation plans, and production solutions.
Architect and implement scalable data lakehouse platforms using Databricks, Apache Spark, PySpark, Spark SQL, Delta Lake, and Unity Catalog.
Build near-real-time, batch, streaming, API-based, event-driven, and file-based ingestion pipelines with data quality, lineage, reconciliation, and observability.
Design and deploy data products, marts, semantic layers, analytical applications, and operational workflows in Palantir Foundry and Palantir AIP.
Develop generative AI, RAG, multi-agent, vector search, model-serving, and AI-enabled workflow solutions with customer and AI engineering teams.
Establish security, governance, CI/CD, monitoring, incident response, and production operating models for data and AI workloads.
Requirements
7+ years of progressive experience in data engineering, data platform engineering, software engineering, data architecture, or solution architecture.
Strong hands-on experience with Databricks, Apache Spark, PySpark, Spark SQL, Delta Lake, and lakehouse architecture.
Strong Python proficiency and experience with at least one major cloud platform: AWS, Microsoft Azure, or Google Cloud Platform.
Experience with dimensional modeling, star schemas, data marts, semantic layers, data quality, and performance optimization.
Ability to work directly with customers, lead technical discussions, explain complex concepts, and deliver production solutions.
Bachelor’s degree in computer science, information systems, systems engineering, or a related field; ability to obtain a Tier 2 / Moderate Risk Background Investigation and VA PIV credential.
Nice to have
Hands-on experience with Palantir Foundry, Palantir AIP, ontology modeling, operational applications, or Palantir deployment patterns.
Experience with Kafka, Kinesis, Event Hubs, Delta Live Tables, Structured Streaming, CDC, MLflow, Mosaic AI, Vector Search, or Databricks Workflows.
Knowledge of RAG architectures, agentic workflows, vector databases, prompt management, LLM evaluation, and model monitoring.
Experience with Terraform, GitHub Actions, GitLab CI/CD, Azure DevOps, Jenkins, or similar DevOps tools.
Federal, defense, intelligence, healthcare, financial services, regulated-environment, or relevant Databricks and cloud certifications.
Culture & Benefits
Mission-driven work supporting enterprise and public-sector customers.
Healthcare benefits, healthcare savings and flexible spending accounts, paid life insurance, and disability coverage.
Paid time off, paid holidays, military leave, and a 401(k) match.
Remote working options, training and certification opportunities, tuition reimbursement, and internal mobility.
Supportive leadership, transparent collaboration, and an emphasis on employee development.
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