Database Administrator (Cloud Data Platforms) 100% Remote

Title: Database Administrator (Cloud Data Platforms)

Location : Remote

Job Overview

We are looking for an experienced Database Administrator (DBA) with strong SQL and analytical skills to support and optimize modern cloud data platforms. While the role has DBA responsibilities, candidates with a Data Analyst background and solid SQL plus basic admin skill are also suitable.The ideal candidate will have hands-on experience with Amazon Redshift and Google BigQuery, along with performance tuning, cost optimization, and collaboration with data engineering and analytics teams.
Key Responsibilities

Database Administration & Operations

Manage, monitor, and optimize Amazon Redshift and Google BigQuery environments

Implement and maintain backup, recovery, and disaster recovery strategies

Handle user access, security controls, and compliance

Perform performance tuning, capacity planning, and cost monitoring

Architecture & Design

Collaborate with data engineering and analytics teams on scalable data warehouse design

Recommend partitioning, clustering, and distribution strategies

Contribute to data modeling and schema design best practices for analytics use cases

Automation & Optimization

Build scripts and automation for monitoring, deployment, and maintenance

Optimize ETL/ELT pipelines for performance and cost efficiency

Implement observability and workload management tools

Required Skills & Qualifications

7–8+ years of experience as a DBA, Database Administrator (Cloud Data Platforms) with admin exposure

Strong hands-on experience with Amazon Redshift and Google BigQuery

Excellent SQL Skills With Query Optimization Experience

Experience with ETL/ELT tools such as dbt, Airflow, Talend, or similar

Knowledge of AWS and GCP cloud environments

Understanding of data security and access controls

Strong analytical, troubleshooting, and problem-solving skills

Nice to Have

Experience in cost optimization for cloud data warehouses

Exposure to automation and scripting

Background supporting analytics and BI workloads

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