质量保证/自动化测试员
QA/Automation Tester
职位类型:
Pipeline
当前必须具备的保密级别:
无
能够获得的保密级别:
无
公共信任/其他要求:
MBI (T2)
职系:
数据科学与数据工程
职位资格:
技能:
分析、大数据、数据湖
认证:
无
经验:
8年以上相关经验
美国公民要求:
否
职位描述:
Databricks管理员将负责我们Databricks平台的管理、配置、优化和支持。该职位将与数据工程师、数据科学家、分析团队和IT安全团队紧密合作,确保数据处理、机器学习和分析工作负载的安全、可靠和高性能环境。
有意义的工作和个人影响:
平台管理与运维
- 在开发、测试和生产环境中管理维护Databricks工作区。
- 配置和管理集群、池、作业和工作流,以支持ETL、流处理和ML工作负载。
- 监控平台健康状况、容量和性能;主动识别并解决问题。
- 管理Databricks运行时版本、库以及与云存储和数据服务的集成。
- 实施并维护Databricks资产的备份、恢复和业务连续性流程。
安全、治理与合规
- 在Databricks中配置和维护身份和访问管理(IAM)角色、组和权限。
- 实施并执行安全最佳实践,包括加密、网络控制和数据访问策略。
- 与安全和合规团队合作,确保符合组织和监管要求。
- 支持数据治理标准的实施(例如Unity Catalog、目录、模式、表和权限)。
性能与成本优化
- 优化集群配置、自动扩展和作业调度,平衡性能和成本。
- 分析使用指标和成本;在适用的情况下实施成本控制和费用分摊/展示策略。
- 推荐并实施针对大规模数据工作负载的平台调优和优化策略。
协作与支持
- 与数据工程师、分析师和数据科学家合作,了解工作负载需求,并推荐Databricks使用的最佳实践。
- 为Databricks相关事件和服务请求提供二级/三级支持。
- 编写和维护平台文档、操作手册和标准操作流程
查看英文原文
Type of Requisition:
PipelineClearance Level Must Currently Possess:
NoneClearance Level Must Be Able to Obtain:
NonePublic Trust/Other Required:
MBI (T2)Job Family:
Data Science and Data EngineeringJob Qualifications:
Skills:
Analytics, Big Data, Data LakeCertifications:
NoneExperience:
8 + years of related experienceUS Citizenship Required:
NoJob Description:
The Databricks Administrator will be responsible for the administration, configuration, optimization, and support of our Databricks platform. This role will work closely with data engineers, data scientists, analytics teams, and IT security to ensure a secure, reliable, and high-performing environment for data processing, machine learning, and analytics workloads.
MEANINGFUL WORK AND PERSONAL IMPACT:
Platform Administration & Operations
- Administer and maintain Databricks workspaces across development, test, and production environments.
- Configure and manage clusters, pools, jobs, and workflows to support ETL, streaming, and ML workloads.
- Monitor platform health, capacity, and performance; proactively identify and resolve issues.
- Manage Databricks runtime versions, libraries, and integrations with cloud storage and data services.
- Implement and maintain backup, recovery, and business continuity procedures for Databricks assets.
Security, Governance & Compliance
- Configure and maintain identity and access management (IAM) roles, groups, and permissions in Databricks.
- Implement and enforce security best practices, including encryption, network controls, and data access policies.
- Collaborate with security and compliance teams to ensure adherence to organizational and regulatory requirements.
- Support implementation of data governance standards (e.g., Unity Catalog, catalogs, schemas, tables, and permissions).
Performance & Cost Optimization
- Optimize cluster configurations, autoscaling, and job scheduling to balance performance and cost.
- Analyze usage metrics and costs; implement strategies for cost control and chargeback/showback where applicable.
- Recommend and implement platform tuning and optimization strategies for large-scale data workloads.
Collaboration & Support
- Partner with data engineers, analysts, and data scientists to understand workload requirements and recommend best practices in Databricks usage.
- Provide Tier 2/3 support for Databricks-related incidents and service requests.
- Develop and maintain platform documentation, runbooks, and standard operating procedures.
- Conduct user onboarding, training, and knowledge-sharing sessions on Databricks capabilities and best practices.
Automation & DevOps
- Automate workspace and cluster provisioning, configuration, and policy enforcement using Infrastructure as Code (e.g., Terraform, ARM/Bicep, CloudFormation).
- Integrate Databricks with CI/CD pipelines for code deployment and environment management.
- Support version control best practices for notebooks, jobs, and configuration.
WHAT YOU’LL NEED TO SUCCEED
Bring your expertise and drive for innovation to GDIT.
Education:
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.
- Alternative Path: If the candidate does not possess a relevant four-year degree, an additional four years of relevant work experience will be required.
Required Experience:
- 8+ years of experience administering cloud-based data platforms or big data environments.
- Hands-on administration experience with Databricks (Azure Databricks / AWS Databricks / GCP Databricks – specify as needed).
- Strong understanding of:
- Databricks workspaces, clusters, jobs, pools, and notebooks
- Cloud storage (e.g., Azure Data Lake Storage, S3, GCS) and networking concepts
- Identity and access management in the relevant cloud provider (Azure AD / IAM / etc.)
- Experience with scripting and automation (e.g., Python, PowerShell, Bash).
- Familiarity with Spark concepts (clusters, executors, jobs, partitions) and performance considerations.
- Demonstrated experience monitoring and troubleshooting platform performance and reliability issues.
- Strong problem-solving and analytical skills.
- Ability to communicate complex technical concepts to both technical and non-technical audiences.
- Customer-focused mindset with a commitment to reliability and service quality.
- Ability to work independently and collaboratively in a fast-paced, agile environment.
Preferred Qualifications
- Databricks certification(s) (e.g., Databricks Certified Data Engineer Associate/Professional, Lakehouse Fundamentals, Administrator).
- Experience with:
- Unity Catalog and fine-grained data access controls
- CI/CD tools (Azure DevOps, GitHub Actions, Jenkins, etc.)
- Infrastructure as Code (Terraform strongly preferred)
- Log aggregation and monitoring tools (Azure Monitor, CloudWatch, Datadog, Splunk, etc.)
- Knowledge of Delta Lake, structured streaming, and data Lakehouse architectures.
- Experience in enterprise environments with strong security and compliance needs.
Security Clearance Level:
- This role will require you to obtain and maintain a Public Trust and will require you to provide onsite fingerprinting at a designated facility. This investigation may review personal and criminal behavior, financial conduct, foreign influence, as well as other adjudications.
- This position has a U.S. residency requirement. The USPS security clearance process requires the selected candidate to have resided in the U.S. (including U.S. Territories) for the last five years as follows: U.S. Citizens cannot have left the U.S. (including U.S. Territories) for longer than 6 months consecutively in the last 3 years (unless they meet certain exceptions). Non-U.S. Citizens cannot have left the U.S. (including U.S. Territories) for longer than 90 days consecutively in the last 3 years.
Location:
· Remote
GDIT IS YOUR PLACE
At GDIT, the mission is our purpose, and our people are at the center of everything we do.
- Growth: AI-powered career tool that identifies career steps and learning opportunities
- Support: An internal mobility team focused on helping you achieve your career goals
- Rewards: Comprehensive benefits and wellness packages, 401K with company match, competitive pay and paid time off
- Community: Award-winning culture of innovation and a military-friendly workplace
#zxc726
The likely salary range for this position is $128,039 - $173,229. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.Scheduled Weekly Hours:
40Travel Required:
Less than 10%Telecommuting Options:
RemoteWork Location:
Any Location / RemoteAdditional Work Locations:
Total Rewards at GDIT:
Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.
Our Identity Verification Process:
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.About Our Work:
We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.Join our Talent Community to stay up to date on our career opportunities and events atgdit.com/tc.
Equal Opportunity Employer / Individuals with Disabilities / Protected VeteransOriginally posted on Himalayas