- 10 to 15 years of experience in data architecture, data engineering, or solution architecture roles
- Design and architect end-to-end data warehouse and data management solutions on Databricks, Snowflake, AWS, and Azure
- Lead solution architecture discussions with clients and translate business requirements into scalable technical designs
- Define data architecture standards, frameworks, and best practices for data ingestion, transformation, storage, and consumption
- Hands-on expertise with Databricks, Snowflake, Data Engineering and workflow orchestration tools, SQL, Python, Pyspark
- Experience with Azure data services (Azure Synapse, Azure Data Factory, ADLS) and AWS data services (Redshift, Glue, S3, Lake Formation)
- Proven track record in technology consulting — client-facing, project delivery, and stakeholder management
- Knowledge of GenAI tools and technology, Databricks Genie,



Snowflake Cortex and preferably working experience in Projects/Pilots
- Experience in working with teams for enabling Business intelligence, AI/ML, GenAI initiatives
- Familiarity with data modeling techniques (dimensional, data vault, star/snowflake schema)
- Experience in building Solution accelerators for data engineering and data management
- Expertise in RFP due diligence, solution architecture, estimation, proposal preparation and presentation
- Experience with Data & Analytics implementation in Pharma Industry is preferred.
- Strong communication and presentation skills — ability to present complex technical concepts, lead workshops and architecture design sessions
- Consulting mindset — clear problem definition, structured problem-solving, client-focused, delivery-oriented

📌 Senior Manager (Perú)
🏢 Axtria
📍 Perú