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Cloud Engineer (EDS) – Databricks Platform Engineering

This role is for a Cloud Engineer (EDS) – Databricks Platform Engineering in Princeton, NJ (Hybrid). Contract duration is unspecified, with a pay rate not mentioned. Requires 10+ years in cloud engineering, 5+ years with Databricks, and relevant certifications.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
February 19, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Hybrid
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
New Jersey, United States
🧠 - Skills detailed
#Automation #Azure cloud #Databricks #Infrastructure as Code (IaC) #Data Science #GDPR (General Data Protection Regulation) #Monitoring #Data Bricks #Scala #Data Architecture #Azure #Logging #Deployment #AWS (Amazon Web Services) #DevOps #BI (Business Intelligence) #Cloud #Compliance #Security #Terraform
Role description
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Greymatter Innovationz helps you stay digitally relevant across domains, technologies, and skillsets, every day.

We are looking for:

Cloud Engineer (EDS) – Databricks Platform Engineering

Location: Princeton, NJ (Hybrid - 3 days onsite)

Duration: Contract Or FTE

Number: 2 (Immediate 1 in NJ)

Skills: AWS and Azure Cloud Engineer / Administrator with knowledge/experience of solution architecting and Databricks platform Engineering administration

Data Bricks: Deep expertise on data bricks is pre-requisite

Job Position:

We are seeking an experienced and highly skilled Enterprise Data Services (Shared Services) Data Bricks Platform Engineer with a deep understanding of Databricks.

Key Responsibilities:

  1. Platform Design & Implementation:
    • Design, deploy, and manage Databricks workspaces on major cloud platforms (Azure, AWS).
    • Architect and implement scalable, reliable, and secure cloud-based data solutions.

  2. Collaboration & Support:
    • Work closely with cross-functional teams, including DevOps, Data Science, and Business Intelligence, to align platform capabilities with business goals.
    • Provide expertise and guidance on Databricks best practices and data architecture.

  3. Security & Compliance:
    • Implement robust security measures, including access controls, encryption, and data masking.

  4. Automation & Innovation:
    • Develop Infrastructure as Code (IaC) scripts (Terraform, CloudFormation) for deploying Databricks and cloud resources.
    • Drive automation initiatives for deployment, scaling, and monitoring of cloud-based data platforms.

Required Skills & Qualifications:
• Experience:
• Minimum of 10 years in cloud platform engineering, solution architect or similar roles.
• At least 5 years of hands-on experience with Databricks.
• Technical Expertise:
• In-depth knowledge of Databricks, configuration etc.
• Proficiency in at least one cloud platform: AWS or Azure.
• Familiarity with Infrastructure as Code (e.g., Terraform, CloudFormation).
• Other Skills:
• Strong understanding of CI/CD pipelines and DevOps practices.
• Knowledge of monitoring and logging tools for cloud-based platforms.
• Ability to troubleshoot and resolve complex technical issues.

Preferred Qualifications:
• Certifications in Databricks, AWS, or Azure.
• Familiarity with security frameworks like SOC2, GDPR, or HIPAA.

At Greymatter Innovationz,

We offer:

Motivating Work Environment.

Excellent Work Culture.

Help you to upgrade yourself to the next level.

And More!!!