Senior Data Fabric Architect & AI Platform Lead

Accenture

Kirkland (WA)

Vor Ort

USD 101.000 - 270.000

Vollzeit

Vor 10 Tagen

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

Accenture is seeking a data/senior data architect to design enterprise data fabric solutions that provide unified, intelligent access to distributed data across on-prem and multi-cloud environments. You will define reference architectures and integration patterns that scale across the enterprise.

You will integrate data virtualization, active metadata, knowledge graphs, cataloging, and automated data integration to power analytics and AI, and enable data products and self-service delivery.

Qualifikationen

  • Minimum of 10 years of experience in data architecture or enterprise data engineering.
  • Minimum of 6 years architecting data fabric solutions (data virtualization, active metadata, knowledge graphs, automated integration).
  • Minimum of 5 years of experience with cloud data platforms (e.g., Snowflake, Databricks, Azure Synapse, BigQuery).
  • Minimum of 4 years of experience with data integration/ETL/ELT and metadata & lineage tooling.
  • Minimum of 3 years of experience with API and streaming architectures.

Aufgaben

  • Architect enterprise data fabric — design data fabric solutions that deliver unified, intelligent, automated access to distributed data across on-prem and multi-cloud environments.
  • Integrate the connected data layer — design the integration of data virtualization, active metadata, knowledge graphs, cataloging, and automated data integration into a connected data layer for analytics and AI.
  • Define reference architectures — establish reference architectures, integration patterns, and governance integration that scale across the enterprise.
  • Enable data products and self-service — support self-service consumption, data products, and real-time data delivery through the fabric.
  • Apply modern data paradigms — bring data mesh and data product operating models, cloud data platforms, and streaming/API architectures to bear on client problems.
  • Advise and shape solutions — engage client architects and leaders as a trusted advisor and shape solutions for major data modernization pursuits.

Kenntnisse

Data architecture
Enterprise data engineering
Data fabric
Data mesh
Self-service data

Ausbildung

Bachelor's degree or equivalent
Master's degree in a relevant field

Tools

Snowflake
Databricks
Azure Synapse
BigQuery
Data Virtualization
Active Metadata
Knowledge Graphs
Cataloging
ETL/ELT tooling
APIs
Streaming architectures

Jobbeschreibung

Accenture is seeking a data/senior data architect to design enterprise data fabric solutions that provide unified, intelligent access to distributed data across on-prem and multi-cloud environments. You will define reference architectures and integration patterns that scale across the enterprise.

You will integrate data virtualization, active metadata, knowledge graphs, cataloging, and automated data integration to power analytics and AI, and enable data products and self-service delivery.

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