Data Engineering, Management, & Governance Specialist - Finance

What the role needs

• With over 45,000 professionals dedicated to Data & AI, Accenture’s Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.
• 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, including validating outputs against source totals (e.g., financial balances, transaction counts).
• 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 using cloud architecture principles
• Automate the flow of data for consumption.
• Build business processes that enable data governance (e.g., stewardship of financial, customer, or product master data).
• Design and advise on data quality rules 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.
• 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, distilling & analyzing.

From the employer

We Are: The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI — backed by a $3B investment and commitment to our people to do industry-defining work. With over 45,000 professionals dedicated to Data & AI, Accenture’s Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem. You 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. Position 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 extract, transform, and load tools, including validating outputs against source totals (e.g., financial balances, transaction counts). 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 using cloud architecture principles Automate the flow of data for consumption. Build business processes that enable data governance (e.g., stewardship of financial, customer, or product master data). Design and advise on data quality rules 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. Here s what you need: Minimum of 3 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 3 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, distilling & analyzing. Examine data from multiple sources, and share insights which provide competitive advantage Minimum 2 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) Bonus points if you have: 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, Sales) to catch nuances in the meaning of the data, collaborate with cross-functional teams to better understand their areas of expertise, and communicate effectively with their leadership teams. 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, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We anticipate this job posting will be posted until 12/31/2026. Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here: U.S. Employee Benefits | Accenture Role Location Annual Salary Range California $70,350 to $205,800 Colorado $63,800 to $177,800 Connecticut $63,800 to $177,800 District of Columbia $68,000 to $189,300 Illinois $59,100 to $177,800 Maine $54,400 to $151,400 Maryland $63,800 to $177,800 Massachusetts $63,800 to $189,300 Minnesota $63,800 to $177,800 New York $66,300 to $205,800 New Jersey $68,000 to $205,800 Ohio $59,100 to $164,600 Virginia $59,100 to $189,300 Washington $80,200 to $189,300 About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. 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