Lead Data Engineer & Architect (Snowflake & GCP)

Навыки

• BI-инструменты
• CI/CD
• Data Governance
• dbt
• DWH
• Google Cloud
• Git

О компании и продукте

• We are looking for Lead Data Engineer & Architect (Snowflake & GCP) to join our team. Join us as a Lead Data Engineer & Architect (Snowflake & GCP) and help power our next-generation regional data platform for credit risk analytics, device financing, and real-time operations, transforming the way financial services are delivered to thousands of end users and merchant partners across 8 countries. We are a fast-growing multinational Fintech leader transforming financial inclusion and consumer credit across 8 countries in Latin America (including Mexico, Colombia, Panama, and Central America). We build innovative financing solutions—combining credit lines, proprietary device-financing technology, and advanced analytics—to empower our regional ecosystem

Задачи

• Architecture & Modernization: Lead the architecture, end-to-end development, and continuous improvement of our multi-country data platform across 8 LATAM operations, advocating for modern, scalable, and secure solutions primarily in Snowflake and Google Cloud Platform (GCP)
• Pipeline & Ingestion Engineering: Build and maintain scalable ingestion and streaming pipelines connecting GCP Cloud SQL via Datastream (CDC) into GCP Cloud Storage (Bronze Layer) and onward into Snowflake using Snowpipe, Streams, and Tasks
• Semantic Layer & Data Modeling: Implement and standardize the core data model (Star Schema, Medallion Architecture) using dbt to create an explicit, reliable semantic layer for cross-country analytics and BI consumption
• Data Operations & CI/CD: Establish modern DataOps practices by managing database objects, deployments, and versions via Snowflake DCM Projects directly integrated with GitHub CI/CD pipelines
• Governance & Security Architecture: Define and enforce multi-country data governance, granular RBAC (Role-Based Access Control), dynamic data masking, row-level security, and strict compliance with local PII / personal data protection laws across all 8 jurisdictions
• FinOps & Performance Optimization: Actively manage cloud economics by optimizing virtual warehouse sizing, clustering keys, query execution, caching, auto-suspend rules, and resource monitors to keep Snowflake credit consumption predictable and efficient
• Stakeholder Alignment: Act as a bridge between technical and non-technical stakeholders, translating business goals into robust data pipelines while keeping query execution fast and reliable for Product, Risk, and Executive teams
• Mentorship & Quality Culture: Mentor and inspire data engineers, introducing software engineering best practices (testing, code reviews, automated CI/CD) into data workflows and fostering a transparent, feedback-rich engineering environment
• Lead Data Engineer & Architect (Snowflake & GCP) (#4509080101) - Office/Remote | N-iX
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• Lead Data Engineer & Architect (Snowflake & GCP)
• Lead Data Engineer & Architect (Snowflake & GCP) (#5659)
• Work type
• Office/Remote
• Technical Level
• Job Category
• Architecture
• As a technical leader, you will engage across Product, Risk, Engineering, BI, and Regional Leadership, forging strong relationships to deliver real business value
• Here, thoughtful communication and constructive negotiation are as critical as engineering prowess

Требования

• Education: Bachelor's degree or higher in Computer Science, Software Engineering, Data Engineering, or a related quantitative field
• Snowflake Expertise: 3+ years of hands-on production experience in Snowflake (or 5+ years in cloud data warehousing with 3+ dedicated to Snowflake)
• Master-level knowledge of virtual warehouses, micro-partitioning, Streams & Tasks, Snowpipe, Time Travel, Zero-Copy Cloning, and Snowpark
• Mandatory GCP Cloud Experience: Proven, practical experience working with Google Cloud Platform (GCP), specifically GCP Cloud Storage, Cloud SQL, and Datastream (CDC) for raw data ingestion
• Semantic Modeling & Software Engineering Tools: Strong expertise in dbt (dbt Core or Cloud) for transformational workflows and Snowflake DCM Projects / Git for version control and data-as-code infrastructure deployments
• Advanced Code & Scripting: Expert proficiency in Advanced SQL and strong proficiency in Python for automated scripting, data processing, and custom integrations
• Data Security & Governance: Concrete experience designing multi-tenant or multi-country security architectures including dynamic PII masking, RBAC policies, and regulatory compliance
• Stakeholder & Leadership Skills: Outstanding technical communication and negotiation skills
• Ability to explain architectural trade-offs to non-technical business leaders in Spanish and produce technical documentation in English
• Language Proficiency: Professional fluency in Spanish (operational requirement across LATAM teams) and strong written/spoken English (for global vendor/engineering standards)
• We seek a mature, highly experienced Lead Data Engineer & Architect with 5+ years of technical expertise who thrives in complex, multi-country cloud environments—balancing deep data engineering execution with multi-region architectural governance, security, and FinOps strategic leadership
• Your primary strength will be designing, building, and optimizing production environment architectures in Snowflake, alongside GCP core ingestion services (Cloud SQL, Datastream CDC, Cloud Storage)
• Deep experience in semantic layer delivery using dbt and infrastructure-as-code via Snowflake Database Change Management (DCM) Projects integrated with GitHub is required

Будет плюсом

• SnowPro Core or SnowPro Advanced Architect certification
• Prior experience in the Fintech, Banking, or Consumer Credit sector dealing with LATAM regulatory environments
• Direct experience integrating downstream BI platforms (Power BI, Looker, Tableau) with Snowflake semantic layers
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