Urgent role Cloud DBA – MongoDB and Databricks (Remote)
Rahul Pandey
Hello,
This is Rahul from Quantum world Technologies; I am working as Senior Technical Recruiter in this company. I have an Onsite Job Opportunity with one of our clients. Please share your resume if you are interested in the job details given below
Role- Cloud DBA – MongoDB and Databricks
Location- Remote
Job Summary
We are seeking a hands-on Cloud DBA with strong expertise in MongoDB and Databricks to lead and support large-scale database modernization initiatives, including migration from Oracle and SQL Server to MongoDB-based architectures. This role requires deep technical expertise, strong data migration experience, and the ability to work closely with architecture, engineering, and business teams to deliver scalable and secure data platforms.
Required Skills:
• 8+ years of experience in database administration and data platforms
Strong hands-on experience with:
o MongoDB (cluster management, indexing, sharding)
o Databricks (Spark, PySpark, SQL)
Proven experience migrating:
o Oracle → MongoDB
o SQL Server → MongoDB
Experience with data modeling (relational & NoSQL) and schema design. Hands-on experience with ETL/ELT frameworks and data pipelines
Key Responsibilities:
Database & Platform Management
• Administer and manage MongoDB clusters (replication, sharding, indexing, performance tuning). Support and optimize Databricks-based data platforms (Spark workloads, storage integration)
Ensure availability, scalability, and performance of NoSQL and distributed data systems.
Migration & Modernization
• Lead end-to-end migration from Oracle and SQL Server to MongoDB. Design and implement data migration strategies including. Schema redesign (relational → NoSQL)
Data transformation and validation - Cutover and rollback planning
Data Engineering & Integration
• Build and optimize ETL/ELT pipelines using Databricks (PySpark / Spark SQL). Work with tools such as ADF, Airflow, or similar orchestration frameworks for data movement and scheduling
Enable data ingestion from multiple sources (files, APIs, relational DBs).
Performance & Reliability
• Monitor database health, storage, and query performance. Implement backup, recovery, and disaster recovery (HA/DR) strategies. Troubleshoot data inconsistencies and perform root cause analysis
Governance & Security
• Enforce data governance, access control, and compliance standards. Ensure secure handling of data across pipelines and environments. Implement audit, reconciliation, and validation controls
Collaboration & Leadership
• Partner with architecture, application, and data engineering teams. Provide technical guidance during migration planning and execution phases. Mentor junior engineers and review deliverables
Desired Skills:
Experience with Azure ecosystem (ADF, ADLS, Synapse)
Familiarity with data lakehouse architecture (Medallion – Bronze/Silver/Gold)
Knowledge of:
o Kafka / streaming frameworks
o CI/CD and DevOps practices
o Exposure to cloud-native database services (PaaS/IaaS)
• Strong problem-solving and analytical skills
• Excellent communication and stakeholder management
• Ability to work in fast-paced, transformation programs
• MongoDB certifications
Experience in large-scale enterprise data modernization programs. Prior consulting experience (client-facing roles)
Thanks & Regards
Rahul Pandey