GCP Data Architect

11/11/2025

The GCP Data Architect will design, implement, and maintain scalable data pipelines on Google Cloud Platform, ingesting and processing real-time data from connected vehicles and IoT devices. They will also ensure data quality and governance while collaborating with analytics teams and supporting ML model deployment.

Working Hours

40 hours/week

Company Size

51-200 employees

Language

English

Visa Sponsorship

About The Company

At Codvo.ai, we specialize in leveraging artificial intelligence, cloud, and data to solve complex business problems and drive innovation. Our passion for innovation drives us to deliver solutions that not only meet but exceed your unique business needs, fostering smarter, more productive teams. Here’s why our approach has earned widespread acclaim from our clients: 67 Customer NPS: Our Net Promoter Score is a testament to the high level of satisfaction and loyalty among our clients. It underscores our ability to deliver quality and value through our specialized services, making us a preferred partner for businesses looking to leverage AI and data for competitive advantage. 78 Employee NPS: The satisfaction and engagement of our team directly influence the quality of service we provide. Our high employee NPS signifies a motivated, dedicated team that's committed to excellence. This positive work culture ensures that we can deliver exceptional AI-first engineering and enterprise data application services to you. Our approach goes beyond traditional software development; we're dedicated to partnering with you to harness the power of AI and data. The combination of our high trial and engagement success rates, extensive experience, and positive feedback from both clients and employees positions us as more than just a service provider. We're your trusted ally in navigating the complexities of today's digital landscape, committed to transforming your vision into a reality with cutting-edge AI and data solutions.

About the Role

Job Title: Data EngineerExperience: 6+ years  About UsAt Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.<div> </div><div>Key Responsibilities:</div><ul style="margin-top:0cm;" type="disc"><li>Design, implement, and maintain scalable data pipelines on Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Storage).</li><li>Ingest and process real-time data from connected vehicles and IoT devices.</li><li>Develop and maintain ETL/ELT workflows using Python, SQL, and Apache Beam/Spark.</li><li>Ensure data quality, lineage, and governance in the data lake.</li><li>Act as a bridge between data engineering and analytics teams, performing data wrangling, feature engineering, and ML model prototyping.</li><li>Support pipeline automation and ML model deployment on GCP.</li><li>Collaborate with AI/ML leads to operationalize machine learning pipelines and integrate data solutions with applications.</li></ul><div>Skills & Expertise Required:</div><ul style="margin-top:0cm;" type="disc"><li>Strong experience with Python, SQL, and GCP services (BigQuery, Dataflow, Vertex AI, Pub/Sub, Cloud Storage).</li><li>Experience with Airflow, CI/CD, and data pipeline orchestration.</li><li>Familiarity with ML frameworks (scikit-learn, TensorFlow) and feature engineering.</li><li>Expertise in API integration, data ingestion, and automation of ML pipelines.</li><li>Strong understanding of data quality, governance, and lineage best practices.</li></ul>

Key Skills

PythonSQLGCP ServicesBigQueryDataflowVertex AIPub/SubCloud StorageAirflowCI/CDData Pipeline OrchestrationML FrameworksAPI IntegrationData IngestionData QualityGovernanceLineage