Remote opportunity at
GoFasti1178 - Sr. Data Architect
GoFasti acts as a talent intermediary connecting Latin American professionals with international clients. They are seeking a remote Senior Data Architect to join a client assignment…
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About This Role
GoFasti acts as a talent intermediary connecting Latin American professionals with international clients. They are seeking a remote Senior Data Architect to join a client assignment on a full-time contract basis. This position requires an individual capable of managing end-to-end lakehouse architectures on Databricks utilizing Medallion frameworks. The ideal professional thrives on change, possesses strong attention to detail, and communicates effectively. Core duties involve steering platform migrations, overseeing data governance…
Job Description
GoFasti acts as a talent intermediary connecting Latin American professionals with international clients. They are seeking a remote Senior Data Architect to join a client assignment on a full-time contract basis.
This position requires an individual capable of managing end-to-end lakehouse architectures on Databricks utilizing Medallion frameworks. The ideal professional thrives on change, possesses strong attention to detail, and communicates effectively.
Core duties involve steering platform migrations, overseeing data governance through Unity Catalog, establishing infrastructure as code, and testing artificial intelligence use cases such as vector databases and large language models. The selected architect will also guide junior and mid-level engineering colleagues.
Responsibilities
- Design and execute the complete lakehouse architecture on Databricks utilizing bronze, silver, and gold tier patterns
- Develop and refine scalable streaming and batch pipelines with Python, PySpark, and Spark SQL
- Spearhead platform transitions from legacy data warehouses or Hadoop to Databricks while improving runtime and cost efficiency
- Establish data governance frameworks covering Unity Catalog, compliance standards, lineage, and fine-grained access control
- Structure data models for operational and analytical workloads across SQL and NoSQL environments
- Set engineering standards including CI/CD workflows, code reviews, automated testing, and reusable Python packages
- Handle infrastructure deployments using Terraform and implement FinOps strategies for cloud expenditure
- Test and evaluate artificial intelligence use cases such as agents, vector databases, MLflow, and language models
- Provide architectural guidance to various teams and mentor less experienced engineers
Requirements
- Minimum of ten years of experience in data engineering, with at least five years focused hands-on on Databricks and Spark in production
- Proficiency in Python and PySpark along with working knowledge of advanced SQL and Scala
- Demonstrated track record of designing data lakes, lakehouses, and data warehouses, including leading at least one major data migration
- Production background on GCP, AWS, or Azure
- Practical implementation of data governance using access controls, lineage, auditing, and Unity Catalog
- Familiarity with software engineering tools such as Git workflows, CI/CD platforms, and automated testing
- Experience managing infrastructure as code with Terraform
- Skill in explaining technical trade-offs to both technical and non-technical audiences
- Prior mentoring experience with other engineers
- Proficiency in English at a C1 level or higher
Qualifications
- Databricks certifications such as Data Engineer Professional or Platform Administrator
- AWS Solutions Architect or equivalent cloud certifications
- Multi-cloud exposure across GCP, Azure, and AWS
- Experience building RAG or agentic systems using vector databases, OpenAI APIs, MLflow, LangGraph, and LangChain
- Background in handling high-volume real-time and IoT data
- Previous domain exposure in SaaS, telecom, finance, or payments
- Fluency in Spanish or Portuguese
Core Skills
Benefits
- Monthly compensation ranging from USD 7,000 to USD 8,800 paid through a payroll platform
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the remote work policy for this position?
The posting specifies that the role is remote and the candidate must be based in Latin America.
What is the salary range for the Sr. Data Architect?
The monthly compensation varies between USD 7,000 and USD 8,800, depending on the candidate's skillset and seniority.
What are the main technical requirements?
Candidates must have over ten years of data engineering experience, including at least five years hands-on with Spark and Databricks in production environments, strong Python and PySpark skills, and experience leading data migrations.
How does the hiring process work?
The process includes an application review, a screening interview with GoFasti, client profile review, an interview with the client, and finally hiring and onboarding.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.