Chief Data Model Architect

Job Title : Data Information ArchitectAbout the RoleWe are seeking a skilled Data Information Architect to design, develop, and maintain robust data models and SQL-based solutions on Google Cloud Platform.

This role ensures data integrity, optimizes database performance, and supports data-driven initiatives.Duties and Responsibilities : Design and implement scalable and efficient relational and dimensional data models.Develop, optimize, and maintain complex SQL queries, stored procedures, and functions.Ensure data quality and integrity across various data sources and reporting layers.Collaborate with stakeholders to understand data requirements and translate them into technical specifications.Data Expertise : Utilize GCP services such as BigQuery, Cloud SQL, and Dataflow for data storage, processing, and analysis.Implement and manage cloud-based data warehouses and data lakes on GCP.Develop and maintain infrastructure-as-code solutions for GCP data environments using tools like Terraform.Monitor and optimize GCP resource performance and cost for data platforms.Collaboration and Communication : Serve as a primary liaison among business leads, product managers, and data / engineering teams.Facilitate demos, knowledge-sharing sessions, and best-practice documentation for data solutions.Promote adoption of new data capabilities and practices; gather feedback for continuous improvement.Release and Change Management : Coordinate release plans, timelines, and stakeholder readiness for data model and SQL deployments.Ensure training, job aids, and rollout communications are prepared and delivered for data solutions.Track post-release issues, adoption, and stabilization metrics related to data platforms.Requirements : Strong proficiency in SQL and experience with relational database design and data modelling.Demonstrable experience with Google Cloud Platform (GCP) data services (e.g., BigQuery, Cloud SQL, Dataflow).

Familiarity with infrastructure-as-code solutions, e.g., Terraform.Experience with data quality checks and data governance best practices.Experience with Git and Git providers, e.g., GitHub / BitBucket / GitLab.We Offer : A flexible work environment that promotes innovation and autonomy.A competitive salary and comprehensive benefits package.Opportunities for professional growth and development.