Posted today · be early
1178 - Sr. Data Architect
GoFasti
WorldwideremotePosted today
Skill Required
Data-ArchitectData-EngineerData-Platform-EngineerCloud-Data-ArchitectSenior-Data-ArchitectPrincipal-Data-ArchitectLead-Data-ArchitectData-Architect-Sr.-AdvisorData-Architect-Senior-ConsultantSenior-Database-Architectsoftware engineeringdata engineeringGitHub ActionsAzureDatabricksEngineeringLangChainTerraformdesigningsimilar)analyticsbuildingSparkTestNGPythonMLflowHadoopdesignDevOpsGitOpenAPIScalaCI/CDUnityCloudContract
Key highlights
- Salary: (USD) $7,000 - $8,800 per month
- Experience: 10+ years in data engineering (5+ years Databricks/Spark)
- Location: Remote, based in Latin America
- Requirement: English C1 level or higher
- Employment: Full time contract via payroll platform
Role overview
GoFasti is a Talent-as-a-Service company that bridges the gap between world-class developers and designers from LatAm and first-class companies globally. They are seeking an English-fluent Senior Sr. Data Architect based in Latin America to work remotely, looking for a proactive individual with exceptional communication skills and strong attention to detail.
Responsibilities
- Design and own the end-to-end lakehouse architecture on Databricks, using Medallion (bronze/silver/gold) patterns.
- Build and optimize scalable batch and streaming pipelines in PySpark, Spark SQL and Python.
- Lead platform migrations (e.g., legacy data warehouse or Hadoop/EMR to Databricks) with measurable gains in cost and run time.
- Define data governance: Unity Catalog, fine-grained access control, auditing, lineage and compliance (GDPR and similar).
- Model data for analytics and operations (OLTP/OLAP, dimensional, SQL and NoSQL).
- Set engineering standards: CI/CD, unit and integration tests, code review, reusable Python packages, Databricks Asset Bundles.
- Manage infrastructure as code with Terraform and drive FinOps practices to control cloud spend.
- Evaluate and prototype AI use cases on the platform (LLMs, vector databases, agents, MLflow).
- Advise other teams on architecture and mentor junior and mid-level engineers.
Requirements
- 10+ years in data engineering, including 5+ years hands-on with Databricks and Spark in production.
- Strong Python and PySpark; working knowledge of Scala and advanced SQL.
- Proven record designing data lakes, data warehouses and lakehouses, including at least one large migration you led.
- Production experience on at least one major cloud (AWS, Azure or GCP).
- Hands-on data governance with Unity Catalog, access controls, lineage and auditing.
- Solid software engineering practice: Git workflows, automated testing, CI/CD (Azure DevOps, GitHub Actions or similar).
- Infrastructure as code with Terraform.
- Ability to explain design trade-offs clearly to engineers and non-technical stakeholders.
- Experience mentoring engineers.
- English at C1 level or higher.
Nice to have
- Databricks certifications (e.g., Platform Administrator, Data Engineer Professional).
- AWS Solutions Architect or equivalent cloud architecture certification.
- Multi-cloud experience across AWS, Azure and GCP.
- Experience building agentic or RAG solutions with LangChain, LangGraph, MLflow, OpenAI APIs and vector databases.
- Real-time and IoT data processing at high volume.
- Background in finance, telecom, payments or SaaS data domains.
- Spanish or Portuguese.
Additional details
- The salary range offered for this position varies from (USD) $7,000 - $8,800 per month, depending on seniority and skillset.
- This position is for a full time contract, through a payroll platform.
- The talent will work remotely allocated at our client.
- Process steps: Application review/approval > Screening interview with GoFasti's team > We build and send your profile to our client > Profile review/approval by client > Interview with the client > Hiring and onboarding.
- Once you apply for the job, our team will review your resume. If it meets the requirements, we will contact you and move forward in the process.
- Note for Candidates Approached Directly: If you were contacted directly by a member of our team and are interested in this opportunity, please do not apply through this link. Instead, reach out to the person who contacted you to coordinate a meeting.
- Originally posted on Himalayas
