Data Engineering & Governance Leader

Accenture PLC; New York (NY); On-site; USD 87,000 - 294,000; Full time

Benefits offered by this job

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture is seeking a Data Engineering, Management & Governance professional to build data solutions for ingestion, transformation, and structuring data using both vendor and open-source tools. You will develop pipelines, ensure data quality, and support production deployments in a cloud-first environment.

The role emphasizes designing scalable data workflows, migrating data from legacy systems, and enabling governance policies.

Qualifications

• Bachelor's degree or equivalent (minimum 12 years) work experience.
• 5+ years of hands-on experience on Cloud and Big Data technologies (serverless data processing, Spark, batch/streaming, data pipelines).
• 5+ years of experience with DevOps/CI/CD processes and scheduling/orchestration.

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 tools.
• Document requirements and technical design documents.
• Deploy solutions to production environments using CI/CD DevOps and cloud architecture principles.
• Migrate data from legacy data warehouses and enterprise systems using cloud architecture principles.
• Automate the flow of data for reporting and analytics.
• Build business processes for data governance.
• Design and advise on data quality rules and data compliance policies.

Skills

Cloud

Big Data

Python

SQL

Node.js

Spark

CI/CD

Data ingestion

Data governance

Education

Bachelor's degree

Tools

AWS certifications

Job description

Accenture is seeking a Data Engineering, Management & Governance professional to build data solutions for ingestion, transformation, and structuring data using both vendor and open-source tools. You will develop pipelines, ensure data quality, and support production deployments in a cloud-first environment.

The role emphasizes designing scalable data workflows, migrating data from legacy systems, and enabling governance policies.