The Role Designs and owns Databricks lakehouse architecture, scalable batch and streaming pipelines, data governance, analytics models, and cloud infrastructure. Leads major platform migrations, establishes engineering and CI/CD standards, manages Terraform and FinOps practices, and prototypes AI use cases. The role advises stakeholders, mentors engineers, and ensures secure, compliant, cost-effective data platforms across cloud environments. Summary Generated by Built In We Make Remote Work Remarkable

• TopTalent from LatAm Hello! We are GoFasti, a Talent-as-a-Service. GoFasti bridges the gap between world-class developers and designers from LatAm and first-class companies around the globe. We need an English-fluent Senior Sr. Data Architect , based in Latin America, available to work remotely. We are looking for someone with exceptional communication and relationship-building skills, who embraces changes while maintaining strong attention to detail. An interested and proactive person, who's constantly learning and improving their skills. Are you the one we are looking for?

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. It's a plus: 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.

Compensation:

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. Here are the steps for this process: 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. Thank you! Read Full Description Skills Required 10+ years of experience in data engineering 5+ years of hands-on Databricks and Spark production experience Strong Python and PySpark skills Working knowledge of Scala and advanced SQL Experience designing data lakes, data warehouses, and lakehouses Led at least one large-scale data platform migration Production experience with at least one major cloud platform: AWS, Azure, or GCP Hands-on experience with Unity Catalog, access controls, data lineage, and auditing Experience with Git workflows, automated testing, and CI/CD Experience with infrastructure as code using Terraform Ability to clearly explain design trade-offs to technical and non-technical stakeholders Experience mentoring engineers English proficiency at C1 level or higher Databricks certification 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 high-volume IoT data processing experience Finance, telecom, payments, or SaaS data domain experience Spanish or Portuguese language skills View all jobs at GoFasti View GoFasti Profile Report Job