Senior Data Architect

GoFasti

. Design and own the end-to-end lakehouse architecture on Databricks using Medallion (bronze/silver/gold) patterns .

Posted 10/22/2026full-timeRemoteSenior💰 $7,000 - $8,800 per monthWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and optimizing lakehouse architectures on Databricks, with a strong focus on data governance, scalable data pipelines, and cloud infrastructure management. Proficient in mentoring engineers and communicating complex design trade-offs to diverse stakeholders.

Highest-signal resume keywords

Databricks Architecture DesignPySpark DevelopmentData Governance with Unity CatalogInfrastructure as Code with TerraformCloud Migration Experience

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Applicant Tracking System Keywords

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Hard Skills

PythonPySparkSpark SQLScalaSQLCI/CDData ModelingBatch and Streaming PipelinesAutomated TestingData Lake Design

Soft Skills

MentoringCommunicationStakeholder Engagement

Tools & Technologies

DatabricksTerraformAWSAzureGCPGitMLflowOpenAI APIsLangChainVector Databases

Certifications & Qualifications

Databricks CertificationsAWS Solutions Architect

Industry Keywords

Data EngineeringData GovernanceCloud ArchitectureFinanceTelecomPaymentsSaaS

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformHadoopIoTNoSQLPySparkPythonScalaSparkSQLTerraformUnity

About the role

Key responsibilities & impact

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, such as legacy data warehouse or Hadoop/EMR to Databricks, with measurable cost and runtime gains
Define data governance including Unity Catalog, fine-grained access control, auditing, lineage and compliance
Model data for analytics and operations across OLTP/OLAP, dimensional, SQL and NoSQL models
Set engineering standards for CI/CD, unit and integration tests, code review, reusable Python packages and Databricks Asset Bundles
Manage infrastructure as code with Terraform and drive FinOps practices to control cloud spend
Evaluate and prototype AI use cases including LLMs, vector databases, agents and MLflow
Advise other teams on architecture and mentor junior and mid-level engineers
Explain design trade-offs to engineers and non-technical stakeholders

Requirements

What you’ll need

Based in Latin America and available to work remotely
English-fluent; English at C1 level or higher
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 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
Spanish or Portuguese is a plus
Databricks certifications are a plus
AWS Solutions Architect or equivalent cloud architecture certification is a plus
Multi-cloud experience across AWS, Azure and GCP is a plus
Experience building agentic or RAG solutions with LangChain, LangGraph, MLflow, OpenAI APIs and vector databases is a plus
Real-time and IoT data processing at high volume is a plus
Background in finance, telecom, payments or SaaS data domains is a plus

Benefits

Comp & perks

Full-time contract through a payroll platform
Remote work allocated at the client
Salary of USD $7,000–$8,800 per month, depending on seniority and skillset