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Senior Data Platform Engineer (Remote - US)

Jobgether
United States only

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This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Platform Engineer in the United States.

We are seeking an experienced and highly motivated engineer to lead the development and optimization of a large-scale data platform that powers critical insights for global digital experiences. In this role, you will design, build, and maintain cloud-based data infrastructure, ensuring scalability, reliability, and cost-efficiency. You’ll work with cutting-edge technologies like AWS, Databricks, and Terraform, collaborating closely with data scientists and engineers to deliver high-performance solutions. This is a great opportunity for someone who enjoys technical ownership, cross-functional collaboration, and making data-driven innovation possible.

Accountabilities:

As a Senior Data Platform Engineer, you will:

  • Lead the design, deployment, and management of AWS and Databricks environments to support analytics and data science workloads.
  • Implement and maintain infrastructure as code (IaC) using Terraform, standardizing environments and enabling efficient CI/CD pipelines.
  • Develop and optimize data pipelines and ETL processes using Python, Spark, SQL, and AWS tools (Glue, API Gateway, EC2, DynamoDB).
  • Apply FinOps best practices, monitoring usage, optimizing resource allocation, and managing cost governance.
  • Ensure platform security and compliance through strong IAM, network segmentation, and encryption management.
  • Collaborate with internal data engineering and product teams to enhance scalability, reliability, and performance.
  • Contribute to documentation, design reviews, and continuous improvement of operational practices.

Requirements

To be successful in this role, you should have:

  • 3+ years of experience in data, platform, or DevOps engineering with extensive AWS expertise.
  • Proficiency in Python and SQL, with experience developing scalable ETL and data workflows.
  • Knowledge of Databricks administration, Terraform, and CI/CD tools such as GitHub Actions or Jenkins.
  • A solid understanding of FinOps principles, including cost optimization, tagging, and rightsizing strategies.
  • Experience implementing security-first architectures with IAM, RBAC, and secrets management.
  • Strong communication skills and a collaborative mindset suited for small, high-impact engineering teams.
  • A passion for innovation, data-driven problem-solving, and building reliable cloud infrastructure.
  • Bonus points for familiarity with AWS Glue, Kinesis, Lambda, or an enthusiasm for gaming and sports analytics.

Benefits

  • Competitive total compensation with performance-based incentives.
  • Comprehensive healthcare coverage including medical, dental, and vision.
  • Flexible work arrangements — remote, hybrid, or in-office options available.
  • Paid time off, holidays, and wellness days.
  • Retirement savings plan with employer contribution.
  • Opportunities for professional development and continuous learning.
  • Inclusive culture that values diversity, innovation, and work-life balance.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
Thank you for your interest!

About the job

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Posted on

Job type

Full Time

Experience level

Senior

Location requirements

Hiring timezones

United States +/- 0 hours
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Jobgether hiring Senior Data Platform Engineer (Remote - US) • Remote (Work from Home) | Himalayas