Data Platform Engineer ID98943

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you

ABOUT THE ROLE

We are looking for a Data Platform Engineer to modernize, migrate, and maintain reliable data-platform infrastructure across cloud and enterprise environments.

The mandatory requirements are 3+ years of senior-level production data-platform engineering experience, strong Python, Bash and SQL, AWS, Snowflake and Kafka/Confluent expertise, production migration and operations, secure access practices, troubleshooting, and upper-intermediate English. Legacy data migration experience is a plus.

WHAT YOU WILL DO

• Help migrate infrastructure and data-platform workloads from the existing infrastructure to the new infrastructure.
• Help move the data-platform infrastructure and workloads to AWS us-east-2 (USE2), including required connectivity, deployment, and operational prerequisites.
• Enable secure, governed accessibility of data to data-platform consumers and downstream systems.
• Modernize the data-platform architecture, tooling, orchestration, storage, and operational practices to align with organizational standards.
• Support Snowflake, Confluent/Kafka, AWS, and data-platform infrastructure migration and operations across stage and production.
• Participate in production troubleshooting, incident response, documentation, runbook creation, and cross-team migration coordination.
• Use Terraform/IaC, GitLab, monitoring and documented processes to deliver repeatable and auditable changes.

MUST HAVES

• 3+ years of senior-level, hands-on experience in production data-platform engineering, with a platform/DevOps-leaning background and strong data experience.
• Strong Python, Bash, and SQL skills
• Production experience with both Snowflake and Confluent/Kafka, with a focus on DevOps and operations. Deep experience in one and working knowledge of the other is fine:
• Deep Snowflake and AWS, with working Kafka knowledge (topics, connectors, schemas), OR
• Deep Kafka/Confluent and AWS, with working Snowflake knowledge.
• Experience operating or migrating production systems across development, stage, and production environments.
• Strong troubleshooting, incident-response, testing, documentation, and cross-team communication skills.
• Experience with least-privilege access, change control, secrets handling, and secure operational practices.
• Strong cross-functional communication skills.

NICE TO HAVES

• Apache Spark and Hadoop/Hive/HQL, including modernizing or migrating legacy workloads
• Snowpark, dbt alternatives, AWS Glue, Monte Carlo, or other data-quality and catalog tools
• Migrating legacy Airflow, Hadoop or Hive workloads to cloud-native or managed platforms
• Experience working across a company migration or acquisition and aligning systems to a new organization's standards
• Familiarity with Snowflake-to-Iceberg or Snowflake-to-data-lake migration patterns.

PERKS AND BENEFITS

• Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
• Exciting projects: Modern solutions with Fortune 500 and top product companies.
• Flextime: Flexible schedule with remote and office options.

Meet Our Recruitment Process

Each step helps us understand your skills and overall fit.

If it’s a match, you’ll receive an offer.