Data Fabric & AI Platform Manager

Accenture PLC; Boston (MA); On-site; USD 94,000 - 270,000; Full time

Benefits offered by this job

Medical, dental & vision

Life insurance

Long-term disability

401(k) with employer match

Paid holidays & PTO

Bonus opportunities

Job summary

Accenture is seeking a Data Engineering, Management & Governance Manager to own the delivery of strategic AI insights platforms and data fabric across distributed environments. You will architect, ingest, model, govern and integrate enterprise data with AI capabilities, connecting to Salesforce and Palantir Foundry to drive measurable business value.

You will lead design and implementation of cloud data platforms (Snowflake, Databricks, Azure Synapse, BigQuery), ensure data quality and security,

Qualifications

• 5+ years in data architecture or AI platform delivery.
• Expertise with Snowflake, Databricks, Azure Synapse, BigQuery.
• Experience building ETL/ELT pipelines and data governance.
• Experience integrating Salesforce or Palantir Foundry.
• Strong Python/SQL programming for pipelines.

Responsibilities

• Architect and deliver enterprise data fabric solutions across multi-cloud environments.
• Build and maintain AI insights platforms with structured data models.
• Ingest, cleanse, and govern data; ensure data quality and security.
• Integrate Salesforce, Palantir Foundry, and other source systems.
• Enable real-time data delivery and KPI extraction.

Skills

Data architecture

Data fabric design

Cloud data platforms

ETL/ELT pipelines

API & streaming

Salesforce integration

Data governance

Tools

Snowflake

Databricks

Azure Synapse

BigQuery

Job description

Accenture is seeking a Data Engineering, Management & Governance Manager to own the delivery of strategic AI insights platforms and data fabric across distributed environments. You will architect, ingest, model, govern and integrate enterprise data with AI capabilities, connecting to Salesforce and Palantir Foundry to drive measurable business value.

You will lead design and implementation of cloud data platforms (Snowflake, Databricks, Azure Synapse, BigQuery), ensure data quality and security,