Job Title: Senior Alteryx Developer & Architect
Location: Charlotte NC (Onsite)
Duration: 6 Months
Rate: DOE C2C All Inclusive
New Capgemini Onboarding Process Updates:
Due to additional onboarding requirements a meet and greet is required for all new hires.
Selected candidates must be willing to go to the closest Capgemini/Client office location as indicated by the project team to meet and greet with a Capgemini team member prior to starting their assignment.
If the candidate is not local Capgemini will pay the expenses.
Job Description:
We are seeking an experienced Alteryx Developer & Architect with a deep understanding of data analytics and process automation to drive highimpact financial data solutions.
Youll play a key role in designing and implementing Alteryx workflows for data ingestion preparation quality assurance and regulatory report validation.
Key Responsibilities:
Platform Expertise: Leverage Alteryx capabilities including Designer Server Intelligence Suite and Alteryx Analytics Cloud to develop and optimize ETL data quality and automation workflows.
Data Mastery: Lead data ingestion preparation and enrichment processes ensuring the accuracy and reliability of foundational data elements.
Financial Compliance: Design and validate financial regulatory reporting solutions with a focus on high standards of data accuracy governance and compliance.
Quality Assurance: Implement quality checks and robust testing frameworks to ensure data integrity and consistent performance across analytics solutions.
Technical Leadership: Mentor junior team members share best practices and guide solution design using Alteryx SQL and Python.
Automation & Optimization: Drive automation initiatives for scalable and repeatable analytics using scripting and advanced Alteryx capabilities like Machine Learning Location Intelligence and Auto Insights.
Required Skills & Experience:
10 Years in Data Analytics & Engineering with strong Alteryx expertise in both onpremises and cloud platforms.
Technical Proficiency: Advanced skills in Python and SQL for data manipulation scripting and automation.
Data Skills: Proficient in ETL processes data preparation data quality and foundational data management principles.
Domain Knowledge: Indepth understanding of financial regulatory compliance and report validation processes.
Testing and QA Focus: Experience in developing testing frameworks and conducting rigorous data quality assessments for large datasets.v
Please send your resumes to: