The Supervisor, Data Operations & Management joins the data operations team to manage, monitor, and optimize global data pipelines and cloud-based platforms. This role involves providing 24x7 support, including on-call rotations, while serving as a primary point of contact for stakeholders to translate business requirements into operational solutions. The daily work includes hands-on development using dbt and Airflow for ELT processes, managing various Google Cloud Platform services like BigQuery, Cloud Storage, Dataflow, and Pub/Sub, and working with Confluent and Gravitee. Additionally, the position involves creating dashboards in Tableau, MicroStrategy, or Power BI, while utilizing ServiceNow, Jira, and Confluence for incident management and documentation. The role focuses on ensuring the reliability and performance of a global data platform through proactive monitoring, vendor management, and cross-functional collaboration to improve operational efficiency.
AWS
Data Governance
ETL
ELT
Python
PowerShell
CI/CD
SRE
Machine Learning
Artificial Intelligence
Big Data
Data Lake
ITIL
Business Intelligence
Change Management
Incident Management
Data Governance
Risk Management
Data Quality
Metadata Management
Data Stewardship
Cybersecurity
Site Reliability Engineering
AI Tools
Reporting
Process Management
Cybersecurity
Data Analytics
Python
PowerShell
Go
C
C++
C#
JavaScript
DevOps
Agile
Cloud Infrastructure
Active Directory
Linux
Windows
NIST
COBIT
ITIL
PCI
ISO
GDPR
CCPA