Data Engineering, Management, & Governance Specialist - Finance

• 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.

• 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), * 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:

Role Location Annual Salary RangeCalifornia $70,350 to $205,800Colorado $63,800 to $177,800Connecticut $63,800 to $177,800District of Columbia $68,000 to $189,300Illinois $59,100 to $177,800Maine $54,400 to $151,400Maryland $63,800 to $177,800Massachusetts $63,800 to $189,300Minnesota $63,800 to $177,800New York $66,300 to $205,800New Jersey $68,000 to $205,800Ohio $59,100 to $164,600Virginia $59,100 to $189,300Washington $80,200 to $189,300

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