Data Engineering, Management & Governance Manager
accentureCharlotte (NC)
Data Engineering, Management & Governance Manager
Posted today
accentureCharlotte (NC)
SENIORITY
Manager
About the role
Overview:
As a Data Engineering, Management & Governance Manager at Accenture Data & AI, you will own the design and delivery of enterprise AI insights platforms that turn data into measurable business value. You’ll bridge data architecture, AI platform engineering, and business outcomes for large-scale clients. Expect to shape data fabrics, governance, and AI-enabled analytics across multi-cloud and on-premises environments. This role offers the chance to lead platform integrity, scale, and impactful decision support in a fast-evolving field. Compensation / Benefits medical, dental, vision life insurance long-term disability 401(k) plan bonus opportunities paid holidays and paid time off
Responsibilities:
Architect and deliver enterprise data fabric solutions across multi-cloud and on-premises environments Build and maintain strategic AI insights platforms, manage releases and schema evolution Integrate AI platforms with enterprise systems (e.g., Salesforce, Palantir Foundry) and cloud data platforms Govern data quality, metadata lineage, and security, ensuring auditable provenance Enable business value through whitespace identification and KPI-driven analytics Engage clients as a technical advisor, translating requirements into platform data models Drive continuous platform innovation with modern data and AI integration patterns
Key requirements:
5+ years in data architecture, enterprise data engineering, or AI platform delivery Experience designing data fabrics (data virtualization, active metadata, knowledge graphs) and automated data integration Proficiency with cloud data platforms: Snowflake, Databricks, Azure Synapse, BigQuery Experience with ETL/ELT pipelines and metadata/ lineage tooling Knowledge of API and streaming architectures for real-time data delivery Experience integrating Salesforce or similar enterprise systems in data/AI projects Strong Python/SQL skills for pipeline development and automation trusted advisor with client architects and leaders ability to explain complex technical solutions to non-technical stakeholders systems-builder mindset with focus on durable, debt-free platforms Snowflake (incl. Cortex AI, Snowpark) Databricks Azure Synapse Analytics
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