Hiring for Senior Alteryx Developer & Architect Work location: Charlotte NC

Hello,

Please go through the below job description completely and kindly send
a copy of your updated resume at amit.b@wonese.com

Senior Alteryx Developer & Architect
Work location: Charlotte NC

Job Description:

Senior Alteryx Developer & Architect – Financial Data & Regulatory Compliance
About the Role: We are seeking an experienced Alteryx Developer &
Architect with a deep understanding of data analytics and process
automation to drive high-impact financial data solutions. You'll 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 on-premises 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: In-depth 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.

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