Solution Architect Latinamerica (Remote)

At SMS we a looking for a Data Solution Architect for one of our clients based in the US:

📍Latin-American (100% Remote work)

🗣BEING FLUENT IN ENGLISH IS A MUST🗣

🔎About the Role

We are seeking an experienced and dynamic Data Architect to lead the design, development,

and implementation of cutting-edge data solutions. The ideal candidate will have at least 5 years

of experience in data solution design and modeling, technical expertise to act as a lead engineer,

and a strong understanding of software product development methodologies.

✅Required Skills and Qualifications

👉 7 years’ experience in a data or IT role, including at least 5 years as a BI Developer, Analytics Engineer, Data Architect, or similar position.

👉Proven experience leading development teams or acting as a lead engineer. Architecture and Governance

👉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.

✅Preferred Qualifications

👉Certifications such as Google Cloud Professional Data Engineer, Professional Cloud

Architect, or equivalent certifications with other data technology vendors.

✅Key Responsibilities

👉Architect and Design

o 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).

o Establish and maintain data catalogs, governance standards, and development conventions.

o Ensure data solutions align with business objectives, data security policies, and compliance standards.

👉Technical Development Leadership

o Act as a lead engineer, overseeing the implementation of data pipelines, transformations, and integrations.

o Drive development best practices for ELT pipelines, cloud-based data lakehouses, and BI reporting.

o Define and optimize workflows for development, testing, and deployment, including CI/CD integration.

👉 Collaboration and Communication

o 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.

o Collaborate with data scientists, analysts, and engineers to support diverse use cases, including reporting, advanced analytics, and application development.

o Foster a culture of knowledge sharing and advocate for continuous improvement across teams.

👉Operational Excellence

o Establish monitoring, alerting, and quality assurance processes to ensure reliable data systems.

o Provide operational support, including triage and resolution of issues.

o Identify risks, gaps, and weaknesses in existing designs and processes, and recommend improvements.

🚀 Feel Free to apply and share! 🚀