Senior Data Platform Engineer (Remote - US)

Jobgether

63d

About The Position

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.

Requirements

• 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.

Nice To Haves

• Familiarity with AWS Glue, Kinesis, Lambda, or an enthusiasm for gaming and sports analytics.

Responsibilities

• 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.

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.

What This Job Offers

• Career Level: Senior
• Number of Employees: 11-50 employees