Senior Cloud DBA – PostgreSQL & Databricks Lakehouse
WebSenor Ltd
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Job summary
WebSenor Ltd is seeking an experienced Senior Cloud Database Administrator with deep PostgreSQL, Databricks Lakehouse, and cloud modernization expertise. You will design, administer, optimize, and modernize enterprise database platforms across cloud environments, ensuring high availability, performance, security, and scalability.
The role requires strong hands-on experience with Azure Database for PostgreSQL, Databricks Lakehouse, Apache Airflow, Azure Data Factory, real-time data streaming, and
Qualifications
- 7–10 years of DBA/Cloud DBA experience.
- Strong PostgreSQL administration and performance tuning.
- Experience with cloud platforms (Azure, AWS, GCP) and cloud migrations.
- Experience with enterprise-scale data platforms and modernization initiatives.
Responsibilities
- Design, implement, and optimize PostgreSQL databases across cloud platforms.
- Lead migration of on-premise databases to cloud-native PostgreSQL environments.
- Design and manage Databricks Lakehouse architectures using Delta Lake and Medallion Architecture.
- Build and maintain ETL/ELT workflows using ADF, Databricks Workflows, and Apache Airflow.
- Implement HA/DR, backup, security, and monitoring best practices.
Skills
Education
Tools
Job description
Job Title: Senior Cloud Database Administrator (Cloud DBA) Experience: 4-10 Years Employment Type: Full-Time
We are seeking an experienced Senior Cloud Database Administrator (Cloud DBA) with deep expertise in PostgreSQL, Databricks Lakehouse, and cloud database modernization. The ideal candidate will be responsible for designing, administering, optimizing, and modernizing enterprise database platforms while ensuring high availability, performance, security, and scalability across cloud environments.
The role requires strong experience with Azure Database for PostgreSQL, Databricks Lakehouse, Apache Airflow, Azure Data Factory (ADF), real-time data streaming, and DevOps automation. The successful candidate will play a key role in cloud migration, database optimization, and building reliable, cloud-native data platforms.
- Design, implement, administer, and optimize enterprise PostgreSQL databases across cloud platforms.
- Lead database modernization initiatives, including migration of on-premises databases to cloud-native PostgreSQL environments.
- Design and manage scalable Databricks Lakehouse architectures using Delta Lake and the Medallion Architecture (Bronze, Silver, Gold).
- Administer cloud database platforms including: Azure Database for PostgreSQL, AWS RDS PostgreSQL, Google Cloud SQL for PostgreSQL
- Build and maintain high-performance ETL/ELT workflows using: Azure Data Factory (ADF), Databricks Workflows, Apache Airflow
- Design and support real-time data processing solutions using: Apache Kafka, Event-driven architectures, Streaming data pipelines
- Monitor database performance and optimize: Query execution, Indexing strategies, Partitioning, Replication, Backup and recovery, Resource utilization
- Implement high availability (HA), disaster recovery (DR), backup, and business continuity strategies.
- Develop database automation scripts for provisioning, monitoring, maintenance, and deployments.
- Collaborate with Data Engineers, Solution Architects, DevOps, and Application teams to support enterprise data platforms.
- Implement database security, encryption, auditing, and compliance best practices.
- Design and maintain monitoring, logging, alerting, and observability solutions for database environments.
- Support production environments by troubleshooting performance issues, resolving incidents, and conducting root cause analysis.
- Implement Infrastructure as Code (IaC) and CI/CD pipelines to automate database deployments and configuration management.
- Mentor junior DBAs and establish database administration standards and best practices.
Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related discipline.
7–10 years of experience as a Database Administrator (DBA) or Cloud Database Engineer.
Strong experience administering enterprise PostgreSQL environments.
Experience supporting cloud-native database platforms and modernization initiatives.
Experience working with large-scale enterprise data platforms.
Strong expertise in:
- PostgreSQL Administration
- Database Installation & Configuration
- Performance Tuning
- Query Optimization
- Indexing
- Partitioning
- Replication
- Backup & Recovery
- High Availability (HA)
- Disaster Recovery (DR)
Hands‑on experience with:
- Azure Database for PostgreSQL
- AWS RDS PostgreSQL
- Google Cloud SQL
- Cloud database migration and modernization
Strong experience with:
- Databricks Lakehouse Architecture
- Delta Lake
- Medallion Framework
- Databricks Workflows
- Data Lakehouse optimization
Experience with:
- Azure Data Factory (ADF)
- Apache Airflow
- Workflow orchestration
- ETL/ELT pipeline development
- Data integration frameworks
Experience with:
- Apache Kafka
- Event Streaming
- Streaming data pipelines
- Event‑driven architectures
- Real‑time data processing
Strong experience with:
- CI/CD pipelines
- GitHub Actions, Azure DevOps, or similar tools
- Infrastructure as Code (Terraform, ARM, or equivalent)
- Scripting and automation
- Version control
Experience with:
- SQL
- Python
- Bash/Shell scripting
- PowerShell (Preferred)
Experience implementing:
- Database monitoring
- Logging and alerting
- Performance monitoring
- Database security
- Encryption
- Auditing
- Compliance controls
- Experience with enterprise cloud migration and modernization projects.
- Experience with multi‑cloud environments (Azure, AWS, GCP).
- Knowledge of Data Governance and Metadata Management.
- Experience supporting AI/ML‑ready data platforms and advanced analytics environments.
- Familiarity with Kubernetes and containerized database deployments.
- Azure, PostgreSQL, Databricks, or cloud platform certifications.
- Experience working in Agile and DevOps environments.
- PostgreSQL Database Administration
- Cloud Database Modernization
- Databricks Lakehouse
- Delta Lake Architecture
- Database Performance Tuning
- ETL/ELT Orchestration
- Azure Data Factory
- Apache Airflow
- Apache Kafka & Event Streaming
- High Availability & Disaster Recovery
- Infrastructure as Code (IaC)
- CI/CD & DevOps
- Database Security & Compliance
- Problem Solving & Root Cause Analysis
- Technical Leadership & Collaboration
The successful candidate will:
- Modernize enterprise database platforms for cloud-native environments.
- Build secure, scalable, and highly available PostgreSQL database solutions.
- Enable efficient data engineering through Databricks Lakehouse and automated orchestration.
- Improve operational excellence through performance tuning, monitoring, and DevOps automation.
- Support enterprise analytics, real-time data processing, and AI-ready data platforms with reliable database services.
Work Location: Hybrid remote in Noida, Uttar Pradesh (Noida)
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