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Senior Data Engineer

ARS 6,000-8,500/month
Indeed
Full-time
Onsite
No experience limit
No degree limit
Pje. Centenario 130, C1405 Cdad. Autónoma de Buenos Aires, Argentina
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Summary: Seeking a Senior Data Engineer to design and own the data ingestion layer within Microsoft Fabric for a global hospitality organization. Highlights: 1. High-impact data transformation engagement with a global organization 2. Key role in designing and owning Microsoft Fabric data ingestion 3. Hands-on, senior-level engagement shaping data delivery **Senior Data Engineer** ------------------------ **Full\-time Contract Engagement** **Compensation:** $6,000–$8,500 USD/month **Start:** Late June / early July 2026 **Location:** Remote across the Americas **Travel:** Periodic travel required across the Americas, with occasional travel to Europe **Engagement Length:** 6–7 months, with potential extension into a support phase **Commitment:** Full\-time only (100% allocation) #### **About the Opportunity** Latino Legends is hiring a **Senior Data Engineer** for a high\-impact data transformation engagement with a global hospitality organization operating across multiple countries in the Americas and Europe. This role will play a key part in designing and owning the **data ingestion layer within Microsoft Fabric**, helping consolidate operational data from approximately 24 source systems into a centralized warehouse environment. You’ll join a senior delivery team responsible for standing up the ingestion foundation end\-to\-end, while a separate downstream analytics partner handles modeling, BI, and reporting. This is a hands\-on, senior\-level engagement best suited for someone who is highly experienced with **Microsoft Fabric**, lakehouse architecture, data warehousing patterns, and source\-to\-warehouse ingestion design. #### **What You’ll Do** As the **Senior Data Engineer**, you will own the Microsoft Fabric landing zone architecture, extraction framework, and warehouse\-facing ingestion layer. Your work will directly shape how source data is landed, standardized, documented, and delivered for downstream consumption. #### **Key Responsibilities** * Design and configure **Microsoft Fabric workspace topology** across development, staging, and production environments * Define and implement **OneLake structure**, storage patterns, and capacity sizing * Establish **Bronze landing zone standards**, including: + Parquet / Delta formats + Partitioning strategy + Schema\-on\-read patterns + Raw payload preservation * Build and manage **Data Factory pipelines**, including: + Scheduling conventions + Dependency graphs + Backfill processes * Configure and maintain **native Microsoft connectors** for key business systems (e.g. Salesforce, Dataverse, and similar platforms) * Define and document **per\-source extraction specifications** across approximately 24 operational systems * Partner with downstream analytics stakeholders to define the **Bronze\-to\-Silver / warehouse consumption contract** * Manage **schema evolution**, time\-travel configuration, and table optimization / retention strategies * Produce **as\-built documentation, handoff materials, runbooks, and architecture references** * Lead an audit of the existing Fabric tenant and ingestion setup during the initial phase of the engagement #### **What We’re Looking For** ##### **Required Experience** * **7\+ years** of experience in data engineering * **2\+ years of hands\-on Microsoft Fabric experience** (or equivalent direct lakehouse platform ownership, though Fabric experience is strongly required) * Strong experience building and operating **data ingestion pipelines and warehouse landing zones** * Deep understanding of **medallion architecture**, especially **Bronze / landing layer design** * Advanced knowledge of: + **Delta Lake / Parquet** + **Schema evolution** + **Partitioning** + **Time travel** + **OPTIMIZE / VACUUM** and related maintenance patterns * Experience with **CDC / change data capture** patterns from systems such as SQL Server, PostgreSQL, or similar event/change\-streaming setups * Expert\-level SQL skills, including **T\-SQL** and **Spark SQL** * Strong understanding of **data warehouse schema design**, naming conventions, and data contract design * Ability to create clear technical documentation, including: + ingestion specifications + architecture diagrams + handoff documents + runbooks * Professional fluency in **English** ##### **Preferred / Nice to Have** * Experience working with **hospitality, travel, or operational multi\-entity business data**, such as reservation systems, POS, PMS, HR, or similar operational platforms * Experience auditing or optimizing **existing Microsoft Fabric environments** * Strong background in **pipeline observability**, including freshness monitoring, schema drift detection, and API quota / ingestion monitoring * Familiarity with **Purview** or similar governance / metadata tools, including PII classification at landing * **Spanish or Italian** language skills are a plus * Microsoft certifications such as: + **Fabric Analytics Engineer Associate** + **Azure Data Engineer Associate** #### **Core Tech Stack** * **Microsoft Fabric** (OneLake, Lakehouse, Warehouse, Data Factory) * **Delta Lake** * **Parquet** * **Spark** * **T\-SQL** * **Python** * **CDC tooling** (e.g. Debezium, SQL Server CDC) * **Power BI semantic models** * **Purview** * **Azure Key Vault** * **Git / Azure DevOps** #### **Engagement Context** This role is part of a **senior four\-person delivery team** supporting a large\-scale data ingestion initiative for a multi\-country hospitality business. The project focuses on centralizing operational data from approximately **24 source systems** into a **Microsoft Fabric data warehouse**, using a phased delivery approach. The team owns the **ingestion layer end\-to\-end**, including source extraction, landing zone design, warehouse delivery structure, and technical handoff. Downstream modeling, BI, and analytics are managed by a separate analytics partner. #### **Team Structure** * Reports to the engagement’s **Fractional vCTO** * Works alongside other senior technical contributors across architecture, backend / DevOps, and domain advisory functions #### **Important Notes** * **Hands\-on Microsoft Fabric experience is non\-negotiable** for this role. Candidates with only general Azure, Databricks, or traditional data engineering experience without Fabric exposure will not be considered a fit. * This is a **full\-time engagement** and is **not compatible with other active client projects or part\-time commitments** * **Hospitality data experience is strongly preferred** * A **valid passport** is required for occasional international travel

Source:  indeed View original post
Sofía González
Indeed · HR

Company

Indeed
Sofía González
Indeed · HR

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