Description

Design enterprise data platforms and advanced analytics systems for utility data.

Responsibilities

• Define enterprise-level data architecture blueprints and standards.
• Design ingestion pipelines for AMI, CIS, OMS, GIS, SCADA, and Billing systems.
• Develop canonical data models to enable enterprise data sharing.
• Validate scalability, performance, redundancy, and disaster recovery architectures.

Required Skills

• 5+ years of experience in data architecture or engineering.
• Strong proficiency with Azure services including ADF, Synapse, and Databricks.
• Experience with AWS and GCP cloud environments.
• Implementation of Data Lakehouse, Event Streaming, and Lambda/Kappa architectures.
• Integration expertise using Kafka, REST, and SOAP.
• Knowledge of data governance, including DQ rules, lineage, metadata, and MDM strategies.
• Understanding of security protocols: RBAC, network isolation, encryption, and audit logging.
• Familiarity with utility domain concepts such as meter data schemas, outage reliability (SAIDI, SAIFI), and asset modeling.

Key Skills

Education

Any Graduate