Data Observability Architect

Infosys Pontoon • Richmond, VA

1d • Hybrid

About The Position

The Data Observability Architect will implement a Monte Carlo-based data observability solution integrated with Snowflake, Exadata, SQL Server, dbt, Talend, Informatica, and Denodo. The solution will provide proactive monitoring, lineage, data quality, and SLA visibility. It will enable automated anomaly detection, root cause analysis, impact assessment, ServiceNow-based alerting, operational dashboards, and knowledge transfer to support sustainable operations.

The position is a six-month contract based in Richmond, Virginia, with a hybrid work arrangement.

Requirements

• 10–15 years of data engineering or data architecture experience.
• Hands-on experience with Monte Carlo Data Observability.

Nice To Haves

• Monte Carlo Customer Certification 101.
• SnowPro Advanced Architect (ARA-C01).
• SnowPro Core (COF-C02).
• AWS Solutions Architect Professional (SAP-C02).
• Fabric Data Engineer Associate (DP-700).
• Cloud fundamentals, including AWS or GCP basics.
• ITIL v4 Foundation (ITIL4F).
• Python utilities experience.
• Utilities or energy domain exposure, including smart metering (AMI) or grid/SCADA systems.

Responsibilities

• Design the target-state architecture for an observability solution aligned with the target-state data pipeline framework.
• Integrate the Monte Carlo observability framework with Snowflake, Exadata, and SQL Server data platforms.
• Configure and enable Monte Carlo proactive monitoring for data freshness, volume anomalies, schema drift, and data quality.
• Enable automated anomaly detection, root cause analysis, impact assessment, ServiceNow-based alerting, and operational dashboards.
• Provide knowledge transfer to support sustainable operations.

What This Job Offers

• Career Level: Senior
• Education Level: No Education Listed