Senior Alteryx Data Engineer with workflow Automation, ETL, SQL Expertise

Role description
Tredence is a global analytics services and solutions company. Our capabilities range from Advanced analytics and Data Management to Data Visualization, Big Data, and Machine Learning. Our uniqueness is in bringing the right mix of technology and business analytics to create sustainable white-box solutions that are transitioned to our clients at the end of the engagement. We do this cost-effectively using a global execution model leveraging our clients' existing technology and data assets. We also come in with some strong IP and pre-built analytics solutions in data mining, BI, and Big Data.
About the Role
We are looking for a highly skilled and client-facing Senior Alteryx Data Engineer with 8+ years of experience in designing, building, and optimizing enterprise-scale data transformation and analytics solutions. The ideal candidate will have deep expertise in Alteryx Designer, Alteryx Server, ETL/ELT processes, data engineering, and workflow automation.
This role requires strong stakeholder management skills, the ability to work directly with business and technology teams, and experience delivering solutions in a fast-paced, dynamic environment. Experience with Databricks, PySpark, and modern cloud-based data platforms is highly desirable.
Key Responsibilities
Design, develop, optimize, and maintain complex Alteryx workflows, macros, and analytic applications.
Build scalable data pipelines for data ingestion, cleansing, transformation, validation, and reporting.
Work directly with clients, product owners, and business stakeholders to understand requirements and translate them into technical solutions.
Lead technical discussions, solution design workshops, and client presentations.
Improve workflow performance, scalability, and maintainability across enterprise applications.
Develop reusable frameworks, standards, and best practices for Alteryx development.
Collaborate with cross-functional teams including Data Engineers, Architects, Analysts, and Business Users.
Troubleshoot data quality, performance, and production issues.
Participate in Agile ceremonies and contribute to project planning and estimation.
Drive continuous improvement and automation initiatives to increase operational efficiency.
Required Skills & Qualifications
Mandatory
8+ years of experience in Data Engineering, ETL, or Analytics Engineering.
5+ years of hands-on experience with Alteryx Designer and Alteryx Server.
Strong expertise in:
Workflow development
Data blending and transformation
Macro development
Analytic Apps
Workflow optimization
Advanced SQL skills with expertise in data modeling and database concepts.
Experience working with large-scale enterprise data environments.
Strong understanding of ETL/ELT architecture and best practices.
Experience with data validation, reconciliation, and quality frameworks.
Excellent communication and stakeholder management skills.
Proven experience in client-facing roles.
Ability to manage multiple priorities in a fast-paced delivery environment.
Preferred / Nice to Have
Experience with Databricks platform.
Hands-on experience with PySpark for distributed data processing.
Experience with cloud platforms such as Azure, AWS, or GCP.
Knowledge of Delta Lake, Data Lakehouse architectures.
Experience with CI/CD and DevOps practices for analytics deployments.
Alteryx certifications (Designer Advanced, Expert, or Server Administration) preferred
Soft Skills
Strong problem-solving and analytical thinking.
Exceptional client engagement and consulting skills.
Ability to communicate complex technical concepts to non-technical stakeholders.
Self-driven, proactive, and accountable.
Comfortable working under tight timelines and evolving business requirements.
Strong collaboration and leadership capabilities.

Work arrangement
Hybrid