Data Engineering & Governance Architect

Accenture PLC; Chicago (IL); On-site; USD 59,000 - 178,000; Full time

Job summary

Accenture is seeking a Data Engineering, Management & Governance professional to build data solutions for ingestion, transformation, and structuring data using vendor and open-source tools. Design scalable pipelines, validate outputs, and document requirements while applying CI/CD and cloud architecture principles.

Travel may be required; a strong focus on data quality, governance, and collaboration with BI teams is essential.

Qualifications

• 3+ years hands-on experience with cloud and big data technologies (serverless data processing, Spark/SparkSQL, batch and streaming pipelines)
• 2+ years with DevOps and CI/CD
• Bachelor's degree or equivalent work experience (12 years total)

Responsibilities

• Apply data engineering principles to create reusable workflows for data ingestion, quality assurance, transformation, and optimization.
• Design, build and test scalable data pipelines using ETL/ELT tools, validating outputs against source totals.
• Document requirements and technical designs; deploy solutions to production using CI/CD and cloud architecture.
• Migrate data from legacy warehouses using cloud architecture principles; automate data flow for consumption.
• Support data governance through quality rules and compliance policies.

Skills

Cloud data engineering

Spark/SparkSQL

Python

SQL

Node.js

CI/CD

DevOps

Education

Bachelor's degree or equivalent

Tools

AWS

Cloud databases

Job description

Accenture is seeking a Data Engineering, Management & Governance professional to build data solutions for ingestion, transformation, and structuring data using vendor and open-source tools. Design scalable pipelines, validate outputs, and document requirements while applying CI/CD and cloud architecture principles.

Travel may be required; a strong focus on data quality, governance, and collaboration with BI teams is essential.