Data Observability Architect

Enable automated anomaly detection, root cause analysis, impact assessment, ServiceNowbased alerting, operational dashboards, and knowledge transfer for sustainable operations. Configure and enable Monte Carlo proactive monitoring components for Data freshness, Volume Anomalies, Schema drift, and Data quality.

Job Title: Data Observability Architect
Work Location : Richmond VA, 23219 (Hybrid)
Contract duration: 06 months

Job Details:

Monte Carlo Customer Certification 101 (Preferred)
SnowPro Advanced Architect (ARA-C01)
SnowPro Core (COF-C02)
AWS Solutions Architect Professional (SAP-C02)

Must Have Skills:
10-15 years of Data Engineering / Data Architecture experience
Hands-on experience with Monte Carlo Data Observability

Nice to Have Skills:
Fabric Data Engineer Associate (DP-700)
Cloud fundamentals (AWS / GCP basics)
ITIL v4 Foundation (ITIL4F)
Python
Utilities / Energy domain exposure:
Smart Metering (AMI)
Grid / SCADA systems

Detailed Job Description
The role will implement a Monte Carlo based Data Observability solution integrated with Snowflake, Exadata, SQL Server, dbt, Talend, Informatica, and Denodo to provide proactive monitoring, lineage, data quality, and SLA visibility. Enable automated anomaly detection, root cause analysis, impact assessment, ServiceNowbased alerting, operational dashboards, and knowledge transfer for sustainable operations.

Top 3 responsibilities
Design target state architecture for Observability solution that aligns with target state data pipeline framework
Integrate Monte Carlo observability framework with Snowflake, Exadata and SQL Server data platforms
Configure and enable Monte Carlo proactive monitoring components for Data freshness, Volume Anomalies, Schema drift, and Data quality