Data Platform Architect & AI Governance Leader

Accenture; Houston (TX); Vor Ort; USD 140.000 - 230.000; Vollzeit

Zusammenfassung

Accenture seeks a Data Engineering, Management & Governance Manager to own AI-enabled data platforms, driving enterprise data architecture and governance. You will design, build, and govern scalable data fabrics and AI pipelines that ingest, model, and govern enterprise data across distributed environments.

You will connect to Salesforce and Palantir Foundry, implement data quality and security practices, and partner with client teams to realize business value through data-driven insights.

Qualifikationen

• Minimum of 5 years of experience in data architecture, data engineering, or AI platform delivery.
• Proven ability to design and implement enterprise data fabrics and AI-enabled platforms.
• Experience with cloud data platforms and data integration across multi-cloud environments.

Aufgaben

• Architect and deliver enterprise data fabric solutions across on-prem and multi-cloud environments.
• Build and maintain AI-enabled data platforms with scalable data models and ontologies.
• Coordinate with enterprise systems like Salesforce and Palantir Foundry to integrate data pipelines.
• Instrument platforms for automated KPI extraction and business value measurement.
• Define governance, data quality, and security practices across data pipelines.

Kenntnisse

Data architecture

Cloud data platforms

Data mesh

Security & governance

API & streaming

Data quality

Salesforce integration

Palantir Foundry

dbt / Spark

Tools

Snowflake

Databricks

Azure Synapse

BigQuery

Informatica

Alation/Collibra

Jobbeschreibung

Accenture seeks a Data Engineering, Management & Governance Manager to own AI-enabled data platforms, driving enterprise data architecture and governance. You will design, build, and govern scalable data fabrics and AI pipelines that ingest, model, and govern enterprise data across distributed environments.

You will connect to Salesforce and Palantir Foundry, implement data quality and security practices, and partner with client teams to realize business value through data-driven insights.