Senior Data Engineer

About the role

Access continuous learning, leadership development, and cross-portfolio opportunities through Vista’s global network — accelerating both technical and managerial career paths. This role combines hands-on engineering with technical leadership: setting standards, mentoring engineers, and partnering with architecture and product stakeholders to shape the platform's roadmap.

What you'll do

• Own end-to-end architecture for ACDP: data warehouses, tenant data stores, lakes, and feature stores supporting analytics, ML, and AI agent use cases
• Design and build the tenant registry and tenant data warehouse layer that underpins multi-tenant AI Agent workloads
• Build and govern the Data Agent layer that supplies on-prem/customer-controlled data to cloud LLM reasoning in the Hybrid AI zone, with staged
• Define data classification and routing rules that determine which data can flow to Cloud AI, which requires the Hybrid AI path
• Set engineering standards for ETL/ELT design, orchestration, and data quality across the team

What you need

• 6–9 years in data science & ai
• Python
• Data warehousing
• AWS
• Snowflake
• Redshift
• BigQuery
• B.Sc or B.Tech or B.E. or BCA

Good to have

• SQL
• NoSQL
• SCADA
• IoT
• Airflow
• dbt