6 days ago
Buenos Aires, ArgentinaSenior
Responsibilities
- Design, develop, and optimize scalable enterprise data solutions and architectures.
- Build and maintain end-to-end data ingestion, transformation, processing, and integration pipelines.
- Implement Microsoft Fabric solutions using Lakehouses, Warehouses, OneLake, Dataflows Gen2, Pipelines, and Notebooks.
- Develop and optimize SQL queries, stored procedures, tables, views, and database processes.
- Design and maintain data warehouses, data lakes, dimensional models, and semantic layers.
- Integrate CRM, marketing automation, Adobe Analytics, operational, and API-based data sources.
- Automate data transformation and validation with Python, PowerShell, or similar technologies.
- Implement data quality, governance, security, compliance, and enterprise data standards.
- Support AI-driven and agentic solutions through trusted data foundations.
- Lead complex data initiatives and manage priorities, dependencies, risks, and technical delivery.
- Establish engineering best practices and mentor junior and mid-level team members.
Requirements
- At least 5 years of experience in Data Engineering, Data Analytics, Business Intelligence, Enterprise Analytics, or related roles.
- Hands-on experience with Microsoft Fabric, Azure, SQL Server, Power BI, and enterprise data platforms.
- Advanced SQL skills including query optimization, performance tuning, stored procedures, and indexing strategies.
- Strong experience with ETL/ELT processes, data pipelines, and workflow orchestration.
- Experience designing and optimizing data warehouses, data lakes, dimensional models, and scalable data architectures.
- Experience integrating multiple enterprise data sources and APIs.
- Experience with Python, PowerShell, or similar scripting technologies.
- Knowledge of data governance, security, compliance, and data quality principles.
- Understanding of Microsoft Entra ID, RBAC, managed identities, data classification, DLP, and enterprise data security is preferred.
- Exposure to AI, Copilot, agentic AI, intelligent automation, predictive analytics, or machine learning is highly valued.
- Experience in global and cross-functional enterprise environments.
- Ability to lead complex technical initiatives and collaborate with senior stakeholders.
- Strong communication, problem-solving, stakeholder management, and advanced written and spoken English skills.
Benefits
- Hybrid work arrangement with teams in the office an average of four days per week.
- Accommodations or flexibility can be discussed with the hiring team.
About VML
VML is a global marketing and advertising agency that designs brand experiences, customer journeys, and commerce programs for large consumer and enterprise brands. It operates in 55+ markets with principal offices including New York, London, and Singapore, and is part of WPP. Notable clients include Ford, Microsoft, Coca‑Cola, and Nestlé, spanning health, retail, and technology sectors.