Cloud Platform Engineer

Huron; United States; Remote; USD 80,000 - 120,000; Full time

Job summary

An innovative consulting firm is seeking a Cloud Platform Engineer to join their dynamic team. In this role, you'll leverage your expertise in data engineering to design and optimize scalable data solutions in cloud environments. Collaborating with professionals across various regions, you'll work with cutting-edge tools and technologies, driving transformation and enhancing business performance. If you are passionate about data and thrive in collaborative, fast-paced settings, this opportunity is perfect for you. Join us in shaping the future of data-driven solutions and making a meaningful impact.

Qualifications

• 2+ years of experience in data engineering or related fields.
• Hands-on experience with cloud platforms and CI/CD practices.

Responsibilities

• Design and optimize data workflows in cloud environments.
• Collaborate with cross-functional teams on scalable data solutions.

Skills

Python

SQL

PySpark

Data Engineering

Problem-Solving

Agile Collaboration

Tools

AWS

Azure

GCP

Apache Airflow

Docker

Git

Terraform

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.

Position: Cloud Platform Engineer

You will work closely with data architects, engineering leads, and stakeholders across cross-functional teams to build scalable data solutions and pipelines in cloud environments. This role requires hands-on experience with data engineering tools, cloud service providers, and exposure to CI/CD practices.

Key responsibilities include designing and optimizing data workflows, working with modern data formats, and processing frameworks. This position offers collaboration opportunities with teams in the US, Canada, and India.

We seek someone passionate about data, with strong problem-solving skills, thriving in fast-paced, collaborative environments. Comfort working with large datasets, distributed data processing engines, and modern cloud-based data services is essential.

Requirements:

• 2+ years of hands-on experience in data engineering or related fields.
• Proficiency in Python, SQL, and PySpark for building and optimizing data pipelines.
• Experience with cloud platforms such as AWS, Azure, or GCP, and services like S3, Redshift, Glue, and EMR.
• Strong understanding of data lake, data warehouse, and distributed data processing concepts.
• Exposure to CI/CD tools (Azure DevOps, GitHub Actions) and version control systems like Git.
• Ability to work with structured, semi-structured, and unstructured data sources.
• Strong problem-solving skills, self-motivation, and effective team collaboration in Agile environments.

Preferences:

• Experience with orchestration tools such as Apache Airflow or AWS Step Functions.
• Familiarity with containerized environments (Docker, ECS, EKS) and RESTful APIs.
• Knowledge of Apache Iceberg, OLTP/analytical databases like PostgreSQL, Oracle, Redshift, or Snowflake.
• Exposure to infrastructure-as-code tools like Terraform or CloudFormation.
• Previous experience in consulting, analytics, or platform teams with a product mindset.
• Understanding of Agile/Scrum methodologies and sprint-based delivery practices.
• Cloud certifications (AWS, Azure, GCP) are advantageous but not mandatory.

Position Level: Senior Analyst

Country: India