Data Observability Solutions Architect

5 days ago


Bengaluru, Karnataka, India Tredence Inc. Full time

We are seeking an experienced Data Observability Solutions Architect to join our team at Tredence Inc.

About the Role

This is a hybrid role based in major cities across India, including Bangalore, Chennai, Pune, Gurgaon, and Kolkata. The successful candidate will have 6+ years of experience in data engineering, data observability, or data operations roles with a focus on Google Cloud Platform (GCP).

Key Responsibilities
  • Data Observability Design & Implementation
    • Design and deploy observability frameworks across GCP-based data pipelines, integrating tools like Google Cloud Monitoring, Google Cloud Logging, and Google Cloud Trace.
    • Build dashboards and metrics using Google Cloud Monitoring to provide real-time insights into the health and performance of data assets, including BigQuery, Dataflow, and Cloud Storage.
  • Monitoring & Alerting
    • Implement automated monitoring and alerting solutions using Google Cloud Monitoring, setting up metrics for tracking data integrity, completeness, and latency across different stages of data pipelines.
    • Configure alerts to proactively detect data anomalies and potential issues, ensuring rapid response to incidents through integrations with alerting tools like Opsgenie or PagerDuty.
  • Collaboration with Data Teams
    • Collaborate with data engineers and architects to incorporate Google Monitoring services at the design stage, ensuring comprehensive observability across all data assets.
    • Work closely with DevOps teams to integrate monitoring and observability tools within CI/CD pipelines using Google Cloud Build and other GCP-native CI/CD tools.
  • Troubleshooting & Root Cause Analysis
    • Use Google Cloud Trace and Google Cloud Logging to perform in-depth troubleshooting of data incidents, identifying root causes and implementing corrective measures.
    • Develop automated response workflows with Google Cloud Functions for resolving common data issues, reducing Mean Time to Resolution (MTTR).
  • Data Quality & Compliance
    • Implement data quality monitoring solutions using Google Cloud Monitoring and Dataform to ensure compliance with data governance frameworks (e.g., GDPR, CCPA).
    • Set up data quality metrics, alerts, and dashboards to monitor and maintain data health across GCP services, ensuring data accuracy, completeness, and consistency.
  • Performance Optimization
    • Analyze performance metrics using Google Cloud Monitoring to identify and optimize data processing bottlenecks, enhancing speed and reliability of data flows.
Requirements
  • Education: Bachelor's or Master's degree in Computer Science, Data Engineering, Information Technology, or a related field.
  • Experience:
    • 6+ years of total experience in data engineering, data observability, or data operations roles, with a focus on Google Cloud Platform (GCP).
  • Technical Skills:
    • Proficiency in Python, SQL, and CI/CD tools like Google Cloud Build.
  • Soft Skills:
    • Strong problem-solving abilities, especially in troubleshooting and root cause analysis using GCP tools.
    • Effective communication skills, capable of explaining technical solutions to non-technical stakeholders.
    • Ability to work independently and as part of a team in a fast-paced environment.
Benefits

We offer a competitive salary range of $120,000 - $180,000 per year, depending on experience, plus benefits and opportunities for career growth.

Tredence Inc. is a global data science solutions provider focused on solving the last mile problem in AI. We have 2000+ strong active employees with offices in San Jose, Foster City, Chicago, Toronto, and Bangalore, with largest clients in retail, CPG, hi-tech Telecom, healthcare, travel industries.



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