Data Architect Guru at Savi Gurus – Mexico City, Mexico City

• Data Warehouse Architecture and Design
• Define the overall data architecture, including pipelines, storage, modeling, and integration for scalable solutions on Google Cloud (e.g., BigQuery, Dataflow, Cloud Composer, Cloud Scheduler, Cloud Run).
• Establish and maintain data catalogs, governance standards, and development conventions.
• Ensure data solutions align with business objectives, data security policies, and compliance standards.
• Technical Development Leadership
• Act as a lead engineer, overseeing the implementation of data pipelines, transformations, and integrations.
• Drive development best practices for ELT pipelines, cloud-based data lakehouses, and BI reporting.
• Define and optimize workflows for development, testing, and deployment, including CI/CD integration.
• Collaboration and Communication
• Partner with stakeholders (business users, product managers, executives, and IT teams) to gather and finalize data product requirements, define success metrics, and guide design decisions.
• Collaborate with data scientists, analysts, and engineers to support diverse use cases, including reporting, advanced analytics, and application development.
• Foster a culture of knowledge sharing and advocate for continuous improvement across teams.
• Operational Excellence
• Establish monitoring, alerting, and quality assurance processes to ensure reliable data systems.
• Provide operational support, including triage and resolution of issues.
• Identify risks, gaps, and weaknesses in existing designs and processes, and recommend improvements.

• A minimum of 7 years' experience in a data or IT role, including at least 5 years of hands-on experience as a BI Developer, Analytics Engineer, Data Architect, or similar position.
• Proven experience leading development teams or acting as a lead engineer.

• Expertise in defining data governance standards, maintaining data catalogs, and producing thorough documentation.
• Proficiency in creating data flow and process diagrams using tools such as Lucidchart or Visio.

• Advanced knowledge of Google Cloud Platform (e.g., BigQuery, Cloud Storage, Cloud Run, Composer, Scheduler, Dataflow, Vertex AI).
• Proficiency in SQL and workflow orchestration tools such as dbt or Dataform.
• Experience in Python or similar scripting languages for data engineering tasks.
• Strong expertise in Power BI or equivalent BI tools, including the design of semantic models, dashboards, and reports.
• Experience with git-based CI/CD pipelines, preferably using GitHub Actions workflows.

• Working knowledge of product development methodologies (e.g., Agile, Scrum).
• Proficiency in project management and task-tracking tools like Jira and ClickUp.

• Fluent in English, with exceptional verbal and written communication skills.
• A passion for knowledge sharing and mentoring team members.
• A mindset of continuous improvement, both in personal growth and process optimization.
• Highly organized and effective in managing ambiguous or stressful situations.
• Curious and open-minded, with a keen interest in technology trends, experimentation, and prototyping.

• Certifications such as Google Cloud Professional Data Engineer, Professional Cloud Architect, or equivalent certifications with other data technology vendors.

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