Azure Data Lake Data Platform Specialist

BCD Travel

Azure Data Lake Specialist designing and implementing scalable data platforms at BCD Meetings & Events. Integrating diverse data sources into a unified data lake and reporting layer.

Posted 8/1/2026full-timeRemote • 🇨🇴 ColombiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing Azure data platforms, including data ingestion, transformation, and storage. Proficient in building scalable ETL/ELT pipelines and ensuring data quality and governance.

Highest-signal resume keywords

Azure Data Lake Storage (ADLS)Azure Data Factory (ADF)SQLData Modelling for Financial ReportingETL/ELT Pipeline Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IngestionData TransformationData StorageData GovernancePerformance MonitoringPythonSparkPower QueryData Quality ManagementMedallion Architecture

Tools & Technologies

Azure Synapse AnalyticsDatabricksPower BI

Industry Keywords

Financial Systems IntegrationERP SystemsData LineageAccess ControlCompliance Standards

Tech Stack

Tools & technologies

AzureERPETLPythonSparkSQL

About the role

Key responsibilities & impact

Design, develop, and maintain data ingestion pipelines, establishing standards for data ingestion, transformation, and storage
Integrate data from multiple management and financial systems (batch and streaming)
Design and implement a modern data platform using Azure (ADLS Gen2-based architecture)
Define data architecture patterns, including medallion (bronze/silver/gold) layers
Build scalable ETL/ELT pipelines using Azure Data Factory
Handle diverse data formats (structured, semi-structured)
Structure and manage data using bronze/silver/gold layers (medallion architecture)
Optimise data storage, partitioning, and performance
Integrate ADLS with Azure Data Factory (ADF), Azure Synapse Analytics / Databricks, and Power BI and downstream analytics tools
Implement data governance, security, and access controls (RBAC, IAM, ACLs)
Ensure data quality, lineage, and metadata management
Support business teams with data modelling and availability
Monitor performance and troubleshoot data platform issues
Define and implement access control (RBAC, ACLs) and data security and compliance standards.

Requirements

What you’ll need

Proven experience designing and implementing Azure data platforms
Strong hands-on experience with Azure Data Lake Storage (ADLS) and Azure Data Factory (ADF)
Experience integrating ERP and finance systems (SAP highly desirable)
Strong SQL and Power Query skills and experience working with large datasets
Experience with data modelling for financial reporting
Proficiency in Python or Spark (Databricks preferred but not essential)
Experience building end-to-end data pipelines
Understanding of data lake vs warehouse vs Lakehouse patterns and financial data structures and reporting requirements.

Benefits

Comp & perks

Flexible Working
Room to Grow
Everyone has a voice
Extensive benefits including healthcare, retirement plans, continued education support, and employee recognition programs.