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5 дней назад

Data & Solution Architect (Databricks and Palantir Platforms)

171 546 - 189 875$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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