Platform Engineer - Databricks and Cloud

Posted Yesterday
Hiring Remotely in United States
Remote or Hybrid
Senior level
Information Technology • Database • Consulting
The Role
Design, implement, automate, and operate enterprise AWS cloud infrastructure for analytics and data engineering workloads. Build Databricks platforms, Infrastructure-as-Code modules, CI/CD pipelines, secure cloud environments, observability frameworks, and multi-account governance strategies. Optimize reliability, scalability, performance, and cost while guiding engineering teams, leading architecture decisions, and advising clients on cloud and DevOps best practices.
Summary Generated by Built In

EXL is seeking an experienced Platform Engineer to design, implement, automate and operate cloud infrastructure for large scale analytics and data engineering workloads. This role focuses on building and managing Databricks on AWS, Infrastructure-as-Code, CI/CD automation, platform reliability, and cloud governance. The ideal candidate will bring strong hands-on experience across AWS cloud services, Terraform, DevOps practices, and a solid understanding of data engineering platforms, pipelines, and workload orchestration.

Responsibilities
  • Architect and implement highly available cloud solutions using AWS services (EC2, EKS, Lambda, API Gateway, VPC, IAM, Redshift, Glue, etc.)

  • Define cloud architecture standards, best practices, and governance aligned with AWS Well-Architected principles.

  • Drive Infrastructure-as-Code (IaC) adoption using Terraform or AWS CDK with reusable and modular designs.

  • Define and manage CI/CD strategies including multi-environment deployments, automated testing, and rollback mechanisms,

  • Design secure cloud environments covering IAM, network security, encryption, secrets management, and compliance.

  • Collaborate with data engineering teams to build platforms using AWS Glue, Databricks, Redshift, and DynamoDB.

  • Implement observability frameworks (monitoring, logging, alerting) using tools like CloudWatch, Prometheus, Grafana, Datadog, or ELK.

  • Optimize cloud environments for performance, scalability, reliability, and cost (FinOps practices).

  • Lead client discussions, translate business requirements into architecture solutions, and provide strategic guidance.

  • Guide engineering teams to follow architectural standards and DevOps best practices.

  • Support multi-account cloud strategies using AWS Organizations, Control Tower, or Landing Zone patterns.

Qualifications

Must have:

  • Strong experience designing enterprise-scale AWS cloud architectures.

  • Expertise in Infrastructure-as-Code (Terraform / AWS CDK) with modular design practices.

  • Deep understanding of microservices, serverless, and container-based architectures.

  • Hands-on experience with Kubernetes (EKS) and container orchestration.

  • Strong knowledge of CI/CD pipelines and DevOps methodologies.

  • Proficiency in Python, Bash, or similar scripting languages.

  • Experience implementing cloud security and compliance control.

  • Strong networking knowledge (VPC design, hybrid connectivity, security)

  • Experience with modern data platforms (Databricks, AWS Glue, Redshift, etc.)

  • Strong communication and stakeholder management skills.

  • Ability to lead teams and drive architectural decisions.

Good to Have: 

  • Experience with multi-cloud environments (AWS + Azure)

  • Knowledge of FinOps and cost optimization strategies.

  • Exposure to enterprise cloud governance frameworks.

  • Experience in platform engineering or internal developer platforms.

  • Familiarity with Agile delivery in consulting environments.

  • AWS certifications (Solutions Architect, DevOps Engineer, etc.)

Eligibility:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field.

  • Significant hands-on experience in AWS cloud architecture and DevOps environments.

  • Experience working in enterprise or consulting setups with client-facing responsibilities.

Skills Required

  • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field
  • Strong experience designing enterprise-scale AWS cloud architectures
  • Expertise in Infrastructure-as-Code using Terraform or AWS CDK with modular design practices
  • Deep understanding of microservices, serverless, and container-based architectures
  • Hands-on experience with Kubernetes and EKS
  • Strong knowledge of CI/CD pipelines and DevOps methodologies
  • Proficiency in Python, Bash, or similar scripting languages
  • Experience implementing cloud security and compliance controls
  • Strong networking knowledge, including VPC design, hybrid connectivity, and security
  • Experience with modern data platforms such as Databricks, AWS Glue, and Redshift
  • Strong communication and stakeholder management skills
  • Ability to lead teams and drive architectural decisions
  • Significant hands-on experience in AWS cloud architecture and DevOps environments
  • Experience working in enterprise or consulting environments with client-facing responsibilities
  • Experience with multi-cloud environments, including AWS and Azure
  • Knowledge of FinOps and cloud cost optimization strategies
  • Exposure to enterprise cloud governance frameworks
  • Experience in platform engineering or internal developer platforms
  • Familiarity with Agile delivery in consulting environments
  • AWS certifications such as Solutions Architect or DevOps Engineer
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The Company
HQ: New York, NY
30,246 Employees
Year Founded: 1999

What We Do

Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.

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