Senior AI Data Platform Engineer (Snowflake, DBT, Python)

The Ward Law Group; Quilmes; On-site; ARS 185,448,000 - 247,265,000; Full time

Benefits offered by this job

Professional growth

Competitive USD pay

Flexible schedule with remote/office

Job summary

JPMorgan Chase & Co. in Buenos Aires, Argentina is seeking an Executive Director, Data Engineering to lead a 25-person network data engineering team.

The role owns the end-to-end data platform—from sourcing and modelling to the serving layer—and defines governance standards, data contracts, and AI readiness for scalable enterprise use. The leader drives data quality, observability, and regulatory compliance while partnering with global teams to deliver measurable improvements in automation,

Qualifications

• 10+ years in data engineering or data platform engineering with leadership
• Proven ownership of a production data platform: pipelines, modelling, storage, serving
• Experience establishing data governance with data contracts, lineage, and quality metrics
• Strong hands-on engineering foundation: Python, SQL, APIs, streaming/batch pipelines
• Experience adopting agentic AI/LLM capabilities in production environments

Responsibilities

• Define and execute the network data strategy and governance
• Build and operate the data platform: ingestion, streaming, storage, modelling, APIs
• Establish data models and identity standards for network entities
• Drive data quality with testing, monitoring, and SLOs
• Implement data lineage and observability across pipelines
• Collaborate with data governance programmes to meet regulatory obligations
• Make network data AI-ready for agentic and LLM-driven capabilities
• Set engineering standards, CI/CD pipelines, and secure-by-design practices
• Represent data engineering in cross-functional forums and leadership briefs

Skills

Data governance

AI/LLM readiness

Leadership across matrixed orgs

Executive communication

Education

BS in Computer Science or related field

10+ years in data engineering

Tools

Azure Data Factory

Databricks

Azure Synapse

Python

SQL

Job description

JPMorgan Chase & Co. in Buenos Aires, Argentina is seeking an Executive Director, Data Engineering to lead a 25-person network data engineering team.

The role owns the end-to-end data platform—from sourcing and modelling to the serving layer—and defines governance standards, data contracts, and AI readiness for scalable enterprise use. The leader drives data quality, observability, and regulatory compliance while partnering with global teams to deliver measurable improvements in automation,