1 month ago
Remote, Mexico or Monterrey, MexicoSenior
Responsibilities
- Advise customers on data platforms, database engineering, analytics, and AI solutions.
- Deliver technical workshops, knowledge-transfer sessions, and customer enablement activities.
- Assess data architecture, platform health, scalability, performance, security, reliability, and operational readiness.
- Troubleshoot databases, data pipelines, integrations, data models, analytics solutions, and reporting platforms.
- Analyze query performance, logs, and data quality indicators to identify root causes and optimization opportunities.
- Develop prioritized remediation, modernization, and performance-improvement plans aligned with customer objectives.
Requirements
- Require 5-10 years of experience in data engineering, analytics, BI, or data platform technologies.
- Require strong consulting or customer-facing experience.
- Require advanced or fluent English proficiency.
- Demonstrate the ability to facilitate workshops and provide technical guidance to stakeholders.
- Demonstrate strong troubleshooting and root-cause analysis capabilities.
- Have experience collaborating across engineering, delivery, security, and business teams.
- Have knowledge of SQL/T-SQL, Microsoft Fabric, Power BI, data analytics and reporting, ETL development and optimization, data modeling, database performance tuning, high availability and disaster recovery, database security and governance, Azure Data Factory, and Python for data and analytics.
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.