Analytics Platform Engineer - Senior Associate

Huron is seeking an Analytics Platform Engineer to design, build, and operate its enterprise cloud data platform. The role develops scalable AWS data and analytics solutions, automates platform capabilities, and improves platform reliability, performance, and usability.

Responsibilities:

• Design, develop, and maintain platform services supporting data ingestion, transformation, analytics, and reporting
• Build reusable Python-based frameworks, utilities, and automation tools used across multiple product teams
• Develop platform capabilities that enable rapid onboarding of datasets and analytics workloads
• Improve platform reliability, scalability, and operational efficiency
• Develop and maintain data pipelines supporting ingestion and processing of enterprise data
• Build and optimize ETL/ELT solutions using Python, Spark, and AWS services
• Support data lake architecture and modernization initiatives
• Work with structured and semi-structured data including Parquet, Iceberg, JSON, and relational datasets
• Develop Infrastructure-as-Code and platform automation solutions
• Build and maintain CI/CD pipelines and deployment frameworks
• Implement monitoring, observability, and operational tooling
• Automate platform provisioning, configuration, and service onboarding
• Create tooling, templates, and frameworks that simplify platform adoption
• Troubleshoot complex platform and data issues
• Help establish engineering best practices around testing, deployment, security, and maintainability
• Contribute to platform standards and architecture decisions
• Explore and implement AI-enabled solutions that improve platform capabilities and developer productivity
• Identify opportunities to leverage automation and machine learning within platform workflows
• Evaluate new cloud services and analytics technologies

Requirements:

• Bachelor's degree in Computer Science, Information Systems, Engineering, Analytics, or related field
• 2-5 years of software engineering, data engineering, or platform engineering experience
• Strong Python development skills with experience building production-grade applications and automation
• Hands-on experience developing solutions in AWS
• Experience working with AWS services such as S3, Lambda, Glue, Athena, ECS, Step Functions, CloudWatch, and IAM
• Experience building and supporting data pipelines and cloud-native applications
• Strong SQL skills and experience working with large datasets
• Experience with Git-based source control and CI/CD pipelines
• Strong troubleshooting, analytical, and problem-solving skills
• Experience working within Agile development teams
• Experience with Apache Spark and distributed data processing
• Experience with Apache Iceberg, Delta Lake, or modern data lake architectures
• Experience building Infrastructure-as-Code solutions using Terraform or CloudFormation
• Experience developing APIs, platform services, or internal developer tooling
• Experience implementing monitoring, observability, and operational automation
• AWS certifications such as Solutions Architect, Developer, or Data Engineer
• Experience supporting analytics, reporting, machine learning, or AI workloads
• Familiarity with Azure DevOps and GitHub Enterprise