Finance Data & Governance Engineering Lead

Accenture; Chicago (IL); On-site; USD 87,000 - 254,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

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 cloud and open-source tools. The role focuses on reusable workflows, scalable pipelines, and data quality/governance across multiple enterprise systems.

Travel 0–100% may be required depending on client needs. Candidates should have 5+ years in cloud/big data tech, strong Python/SQL/Node.js skills, and experience with Databricks,

Qualifications

• Minimum 5 years hands-on experience with cloud and big data technologies (serverless data processing, Spark/SparkSQL, batch and streaming) and languages like Python, SQL, Node.js.
• Experience with cloud data storage, data management and data services.
• Experience with DevOps and CI/CD processes and scheduling/orchestration.
• Bachelor's degree or equivalent work experience (minimum 12 years).

Responsibilities

• Apply data engineering principles to create reusable workflows for 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 and cloud architecture principles.
• Migrate data from legacy warehouses and ERP/CRM systems using cloud architecture principles.
• Automate data flow for reporting, analytics and AI use cases.
• Build business processes that enable data governance.
• Design and advise on data quality rules and data compliance policies.

Skills

Cloud data storage

Data management

Data services

Spark/SparkSQL

Python

SQL

Node.js

DevOps & CI/CD

Data governance

Education

Bachelor's degree or equivalent

Tools

Databricks

Snowflake

AWS

Job description

Accenture is seeking a Data Engineering, Management & Governance professional to build data solutions for ingestion, transformation and structuring data using cloud and open-source tools. The role focuses on reusable workflows, scalable pipelines, and data quality/governance across multiple enterprise systems.

Travel 0–100% may be required depending on client needs. Candidates should have 5+ years in cloud/big data tech, strong Python/SQL/Node.js skills, and experience with Databricks,