Analytics Platform Engineer - Senior Associate

Job description

Huron is redefining what a global consulting organization can be. Advancing new ideas every day to build even stronger clients, individuals and communities. We’re helping our clients find new ways to drive growth, enhance business performance and sustain leadership in the markets they serve. And, we’re developing strategies and implementing solutions that enable the transformative change they need to own their future. As a member of the Huron corporate team, you’ll help to evolve our business model to stay ahead of market forces, industry trends and client needs. Our accounting, finance, human resources, IT, legal, marketing and facilities management professionals work collaboratively to support Huron’s collective strategies and enable real transformation to produce sustainable business results. Join our team and create your future. The Data Forge team is seeking an Analytics Platform Engineer to help design, build, and operate Huron's enterprise cloud data platform. This role will focus on developing scalable data and analytics solutions within AWS, automating platform capabilities, and improving the reliability, performance, and usability of the platform. The ideal candidate is passionate about engineering, automation, and problem solving. They enjoy building services, developing Python applications, working with cloud-native technologies, and improving the developer experience for teams consuming the platform. What You'll Do Platform Engineering 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. Data Engineering & Analytics 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. Cloud & Infrastructure Automation 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. Developer Experience & Platform Operations 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. Emerging Technology & AI 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. Required Qualifications 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. Preferred Qualifications 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. Technologies You'll Work With Python AWS (S3, Glue, Athena, Lambda, ECS, Step Functions, CloudWatch) Apache Spark SQL Apache Iceberg GitHub & CI/CD Pipelines Terraform / Infrastructure-as-Code Data Lake & Analytics Platforms What Success Looks Like Building reusable platform services that accelerate onboarding and delivery. Automating manual operational processes. Improving platform reliability, observability, and scalability. Delivering engineering solutions used by multiple analytics and product teams. Helping evolve Data Forge into a modern, self-service cloud analytics platform. The estimated base salary for this job is 120,000 - $165,000. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huron’s annual incentive compensation program, which reflects Huron’s pay for performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $138,000 - $189,750. The job is also eligible to participate in Huron’s benefit plans which include medical, dental and vision coverage and other wellness programs. Position Level Senior Associate Country United States of America