Strategic Data & AI Platform Lead

Accenture; Austin (TX); Sur place; USD 120 000 - 250 000; Plein temps

Résumé du poste

Accenture seeks an experienced Data Engineering Manager to own design and delivery of data fabric and AI insights platforms across multi-cloud environments. You will connect Salesforce and Palantir Foundry, govern data quality, and enable real-time analytics for business decisions.

You will lead architecture, platform engineering, and commercial outcomes with strong emphasis on data governance, security, and scalable delivery. Travel may be 0–100% depending on client needs.

Qualifications

• Minimum of 5 years of experience in data architecture, enterprise data engineering, or AI platform delivery.
• Experience delivering enterprise data and AI platforms from architecture to production deployment.
• Hands-on proficiency with data fabric design and cloud data platforms.

Responsabilités

• Architect and deliver enterprise data fabric solutions that span on-premises and multi-cloud environments.
• Build and maintain AI insights platforms with ongoing versioning and data model evolution.
• Ingest, model, govern enterprise data and integrate with Salesforce and Palantir Foundry.

Connaissances

Data architecture

Enterprise data engineering

AI platform delivery

Data fabric

Cloud data platforms - Snowflake

Cloud data platforms - Databricks

Cloud data platforms - Azure Synapse

Cloud data platforms - BigQuery

Data integration

ETL/ELT pipelines

Metadata & lineage tooling

API & streaming architectures

Salesforce integration

Palantir Foundry

Python and SQL

Outils

Snowflake

Databricks

Azure Synapse

BigQuery

Salesforce

Palantir Foundry

dbt

Apache Spark

Description du poste

Accenture seeks an experienced Data Engineering Manager to own design and delivery of data fabric and AI insights platforms across multi-cloud environments. You will connect Salesforce and Palantir Foundry, govern data quality, and enable real-time analytics for business decisions.

You will lead architecture, platform engineering, and commercial outcomes with strong emphasis on data governance, security, and scalable delivery. Travel may be 0–100% depending on client needs.