Senior Databricks Platform Engineer

🕒 Setembro 4

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $169.604 - $229.464 / ano

⏰ Tempo Integral

🟠 Sênior

🏗️ Engenheiro de Plataforma

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General Dynamics Information Technology

SiteLinkedInTodas as Vagas

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, configure, and maintain the enterprise Databricks Lakehouse Platform, including workspaces, Unity Catalog, and scalable data architectures • Administer and optimize Databricks compute, clusters, SQL warehouses, serverless capabilities, and workload management • Develop and optimize data pipelines, ETL/ELT processes, and ingestion frameworks using Apache Spark, Delta Lake, Delta Live Tables, and Databricks Workflows • Create, maintain, and govern Unity Catalog catalogs, schemas, tables, roles/groups, and RBAC/access-control lists • Automate platform provisioning, configuration, and deployments using Terraform, Python, SQL, Databricks Asset Bundles, and Databricks APIs • Implement monitoring, logging, alerting, observability, capacity planning, and performance optimization • Perform Spark and SQL performance tuning, scalability testing, and troubleshooting • Implement cost optimization strategies and contribute to DBU forecasting, financial reporting, and TCO analysis • Support platform upgrades, patching, versioning, release management, and adoption of new Databricks capabilities • Integrate Databricks with enterprise data sources, governance tools, BI platforms, and AI/ML environments • Implement security, encryption, networking, auditing, compliance, and high-availability/disaster-recovery controls • Support security audits, ATO activities, incident response, root-cause analysis, and operational reporting • Establish platform standards, reusable engineering patterns, reference architectures, runbooks, and technical documentation • Collaborate with architecture, security, governance, and data engineering teams • Provide technical guidance and mentorship to data engineers and platform users • Maintain monitoring dashboards, capacity planning, and KPI metrics; evaluate Databricks features and recommend adoption

🎯 Requisitos

• MA/MS degree with 12+ years of general experience in information systems and 10+ years of specialized experience • Experience may be considered in lieu of degree: HS with 18+ years, AA/AS with 16+ years, BA/BS with 14+ years, or Doctorate Degree/Ph.D. with 11+ years • Strong hands-on experience implementing and administering the Databricks Lakehouse Platform, including Unity Catalog, cluster and SQL warehouse management, and job/workflow orchestration • Experience in performance engineering, scalability testing, and tuning of Databricks data platforms • Strong expertise in SQL, Spark performance tuning, and workload management • Proficiency with Grafana, Prometheus, Datadog, CloudWatch, and Elastic • Hands-on experience with CI/CD pipelines, including Jenkins, GitLab CI, GitHub Actions, and Azure DevOps • Proficiency in Python and Bash; strong SQL skills • Experience operating Databricks in AWS-based or hybrid cloud environments • Familiarity with Docker, Kubernetes, and microservices patterns • Experience with telemetry, logging standards, traceability, and root-cause analysis • Ability to analyze large performance datasets • Experience with version control, build/release processes, and infrastructure-as-code automation • Knowledge of data ingestion, ETL/ELT, lake/warehouse architectures, and distributed data processing • Understanding of cloud security, IAM, access control, networking, and resource governance within Databricks and Unity Catalog • Familiarity with federal security, compliance, and audit processes, including ATO and FedRAMP • Strong troubleshooting skills and ability to optimize workload performance • US citizenship is not required • Preferred certifications include Databricks, AWS, Docker, DevSecOps, and ITIL certifications

🏖️ Benefícios

• Medical plan options, some with Health Savings Accounts • Dental plan options • Vision plan • 401(k) plan with pre- and post-tax contributions and company match • Full flex work weeks where possible • Vacation, sick, and personal time • Paid holidays • Paid parental leave • Military leave • Bereavement leave • 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 • Remote work

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