Data Engineering, Management Governance Manager - Finance

Position: Data Engineering, Management, & Governance Manager - Finance
We Are:

Accenture is a global professional services company with leading capabilities in digital, cloud, and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations Services, and Accenture Song, all powered by the world's largest network of Advanced Technology and Intelligent Operations centers. Our 700,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries.

We embrace the power of change to create value and shared success for our clients, people, shareholders, partners, and communities. Visit us at  Are:

As a Data Engineering, Management & Governance professional, you will play a pivotal role in building data solutions for ingestion, transformation, and structuring data, utilizing both vendor and open-source tools for building, migrating, and deploying data pipelines. The Work:

Apply data engineering principles to create reusable workflows for data ingestion, quality assurance, transformation, and optimization.

Design, Build and test scalable data pipelines using extract, transform, and load tools.

Document requirements and technical design documents.

Deploy solutions to production environments using CICD dev ops and cloud architecture principles.

Migrate data from legacy data warehouses and enterprise systems (e.g., ERP, finance, CRM platforms) using cloud architecture principles

Automate the flow of data for consumption (e.g., financial and management reporting, operational analytics, AI use cases).Build business processes that enable data governance.

Design and advise on data quality rules (e.g., completeness, validity, and reconciliation to financial control totals) and set up effective data compliance policies.

Travel may be required for this role.  The amount of travel will vary from 0 to 100% depending on business need and client requirements.

What you need:
Minimum of 5 years of hands-on experience on Cloud and Big Data technologies such as serverless data processing, Spark/SparkSQL, batch and streaming services, event-driven data pipelines, cloud databases, and programming languages such as Python, SQL, and Node.js Minimum 5 years of experience in following:

Cloud data storage, data management and data services

Data supply chain including streaming pipelines to help address the challenges of acquiring data, evaluating its value, .Examine data from multiple sources, and share insights which provide competitive advantage

Minimum 5 years of experience with:

Devops and CI/CD processes

Scheduling and orchestration

Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)
Preferred Requirements:
Experience in large-scale data integration and data warehouse solutions

Ability to lead and effectively facilitate design sessions with business customers and the BI team to derive data requirements and data design information

Cloud (e.g. AWS) data path certifications

Business acumen and domain knowledge (e.g., Finance, Supply Chain, Customer) to catch nuances in the meaning of the data (such as how revenue or cost is defined differently across systems)
A good understanding of governance and security best practices as well as their organization’s policies, procedures, and protocols to maintain the required regulatory and privacy compliance. Basic knowledge of machine learning (ML) and models and statistical analysis to better collaborate with data scientists and business leaders

Demonstrable knowledge in artificial intelligence, machine learning, data science, and other relevant technical domains Compensation at Accenture varies depending on a wide array of factors,…