Senior Databricks Platform Engineer

🕒 il y a 1 mois

🇺🇸 États-Unis – Télétravail

💵 $169 604 - $229 464 / an

⏰ Temps Plein

🟠 Senior

🏗️ Ingénieur Plateforme

🗣️🇺🇸🇬🇧 Anglais requis

D'où vient cette offre

Publiée sur la page carrières de General Dynamics Information Technology, pas via un site d'emploi

Repérée par Remote Rocketship il y a 1 mois

Toujours ouverte sur le site de General Dynamics Information Technology. Vérifiée il y a 3 heures.

Logo of General Dynamics Information Technology

General Dynamics Information Technology

10 000+ employés

Fondée en 1954

💼 Conseil

🏥 Santé

📦 Logistique

Consulting • Healthcare • Logistics

General Dynamics Information Technology (GDIT) est un acteur de premier plan de l’innovation technologique, offrant un large éventail de services, notamment le conseil, la modernisation numérique et les services applicatifs. L’entreprise déploie des solutions en intelligence artificielle (AI), cloud computing (Cloud), cybersécurité, calcul haute performance (HPC) et technologies quantiques. GDIT s’engage à soutenir les secteurs public et de la défense, en fournissant des services essentiels à la mission tels que la logistique et la gestion de la chaîne d’approvisionnement, le renseignement et la sécurité intérieure. L’entreprise met également l’accent sur des pratiques de recrutement diversifiées et inclusives et promeut activement le bien-être des collaborateurs. Grâce à ses accélérateurs numériques et à l’adoption pionnière de technologies émergentes, GDIT vise à faire progresser les missions des agences et à relever des défis technologiques complexes.

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

• 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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