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职位Infosys

Azure Databricks Admin

Infosys

Azure Databricks Admin

Infosys

Plano, TX

·

On-site

·

Full-time

·

3d ago

  • Infosys is seeking an Azure Databricks Admin experienced in Cloud Platform Databricks SME, responsible for overseeing the Platform administration, Security, new NPI tools integration, migrations, platform maintenance and other platform administration activities on Azure/AWS. The ideal candidate will have hands-on experience with Azure/AWS services
  • Infrastructure as Code (IaC), platform provisioning & administration, cloud network design, cloud security principles and automation.
    Databricks admin will plays a pivotal role in admin, security best practices, platform sustain support, new tools adoption, cost optimization, supporting new patterns/design solutions using the Databricks platform. This role ensures platform stability, operational efficiency, security governance, and alignment with enterprise data management strategies. The SME will work closely with Data Governance, Data Engineering, Infrastructure, and Security teams to design scalable solutions, support business users, drive metadata adoption, and maintain high availability of platforms. One will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.

Required Qualifications:

  • Bachelor's degree or foreign equivalent required from accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education

  • Candidate must be located within commuting distance of Plano, TX or be willing to relocate to the area.

  • At least 4 years of experience in Information Technology.

  • Experience in IT cloud infrastructure, architecture and operations, including security, and Platform administration.

  • Applicants authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.

Preferred Qualifications:

  • Experience of architecture and optimize big data pipelines using Apache Spark, Delta Lake, and Databricks-native tools. Able to design scalable data ingestion and transformation workflows, including batch and streaming (e.g., Kafka, Spark Structured Streaming).
  • Experience of creating integration guidelines to configure and integrate Databricks with other existing security tools relevant to data access control. Can implement data security and governance using Unity Catalog, access controls, and data classification techniques.
  • Experience of supporting migration of legacy systems to Databricks on cloud platforms like Azure, AWS, or GCP. Can manage cloud platform operations with a focus on Fin Ops support, optimizing resource utilization, cost visibility, and governance across multi-cloud environments.
  • Expertise in Databricks platform, security features, Unity Catalog, and data access control mechanisms.
  • Experience with data classification and masking techniques. Strong understanding of cloud cost management, with hands-on experience in usage analytics, budgeting, and cost optimization strategies across multi-cloud platforms.
  • Strong knowledge of cloud architecture, design, and deployment principles and practices, including microservices, serverless, containers, and DevOps.
  • Deep expertise in Azure/AWS big data & analytics technologies, including Databricks, real time data ingestion, data warehouses, serverless ETL, No SQL databases, DevOps, Kubernetes, virtual machines, web/function apps, monitoring and security tools.
  • Deep expertise in Azure/AWS networking and security fundamentals, including network endpoints & network security groups, firewalls, external/internal DNS, load balancers, virtual networks and subnets.
  • Proficient in scripting and automation tools, such as PowerShell, Python, Terraform, and Ansible.
  • Certifications in Azure/AWS/Databricks platform administration, networking and security are preferred. Machine Learning & AI integration using MLflow, AutoML, or custom models.

The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements.
Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:

    • Medical/Dental/Vision/Life Insurance
  • Long-term/Short-term Disability
  • Health and Dependent Care Reimbursement Accounts
  • Insurance (Accident, Critical Illness, Hospital Indemnity, Legal)
  • 401(k) plan and contributions dependent on salary level
  • Paid holidays plus Paid Time Off

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关于Infosys

Infosys

Infosys

Public

Infosys Limited is an Indian multinational technology company that offers information technology, business consulting, and outsourcing services. Founded in 1981 by seven engineers, the company is headquartered in Bengaluru and considered one of the Big Six Indian IT companies.

10,001+

员工数

Bengaluru

总部位置

$72B

企业估值

评价

3.9

10条评价

工作生活平衡

3.7

薪酬

2.8

企业文化

4.1

职业发展

3.2

管理层

3.4

75%

推荐给朋友

优点

Flexible work hours and remote work options

Good learning opportunities and training programs

Collaborative environment and supportive colleagues

缺点

High workload and long hours during deadlines

Low salary and uncompetitive pay

Limited career advancement and growth opportunities

薪资范围

220,463个数据点

Junior/L3

Junior/L3 · Technology Analyst

26,472份报告

$79,728

年薪总额

基本工资

$79,728

股票

-

奖金

-

$62,047

$102,446

面试经验

2次面试

难度

3.5

/ 5

时长

14-28周

体验

正面 0%

中性 50%

负面 50%

面试流程

1

Application Review

2

Online Assessment

3

Technical Interview

4

HR Round

5

Final Decision

常见问题

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

Past Experience

Problem Solving