Senior Data Engineer

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