IT - Senior Technology Architect | Data Management - Data Integration | Talend

Cloudspace LLC

  • Richmond, VA
  • 22 days ago

    Highlights

    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.

    Numbers & Facts

    LocationRichmond, VA

    Description

    Job Title: Data Observability Architect
    Work Location : RichmondVA23219
    Vendor Rate: 66.69 - 95
    Contract duration: 6
    Target Start Date: 01 Oct 2026
    Does this position require Visa independent candidates only? Yes
    **hybrid work set-up**



    Job Details:

    Certification needed:

    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.

    Minimum years of experience
    >10 years

    Certifications Needed :Yes
    Min BTECH or equivalent 4 year bachelors degree

    Top 3 responsibilities you would expect the Subcon to shoulder and execute
    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

    Interview Process (Is face to face required?)
    No

    Any additional information you would like to share about the project specs/ nature of work

    Project Code: Dominion Data Pipeline Modernization

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