Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
HASI

Platform Engineer

HASI

. Manage, maintain, and continuously enhance the data engineering platform stack, focusing on Snowflake, Airflow, and Microsoft Fabric .

Posted 9/23/2026full-timeUnited StatesMid-LevelSenior💰 $108,000 - $164,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in managing and optimizing data engineering platforms, particularly with Snowflake and Airflow, while ensuring compliance and security standards are met. Proficient in developing documentation and standard operating procedures to enhance platform usability and governance.

Highest-signal resume keywords
Snowflake AdministrationApache Airflow OrchestrationMicrosoft Fabric SupportCI/CD AutomationData Governance Principles

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data EngineeringPlatform EngineeringSQL ServerPerformance TuningMetadata ManagementData CatalogingCost ManagementSecurity ControlsTroubleshootingCloud-Based Data Systems
Soft Skills
CollaborationDocumentation SkillsSelf-Starter
Tools & Technologies
Power BI ServicePower AutomateSAP DatasphereSAP Analytics CloudBusiness Objects
Industry Keywords
Data InfrastructureData PipelineData DiscoverabilityData LineagePlatform Automation

Tech Stack

Tools & technologies
AirflowApacheCloudSQL

About the role

Key responsibilities & impact
  • Manage, maintain, and continuously enhance the data engineering platform stack, focusing on Snowflake, Airflow, and Microsoft Fabric
  • Evaluate emerging technologies and recommend platform additions, replacements, or upgrades
  • Author and maintain Standard Operating Procedures for platform usage, onboarding, and administration
  • Define and implement processes, coding standards, and code controls with the Data Engineering team
  • Configure, administer, and tune Snowflake environments, including warehouses, roles, resource monitors, and access controls
  • Build, monitor, and maintain Airflow orchestration environments and production data pipeline reliability
  • Support and administer Microsoft Fabric workloads, including configuration, capacity management, and integration
  • Own platform automation and CI/CD pipelines across development, QA, and production environments
  • Improve data discoverability, lineage, and governance through metadata and catalog tooling
  • Monitor platform availability, performance, and cost; proactively resolve issues
  • Support platform upgrades, patching, version upgrades, and deprecations
  • Implement platform security controls, access management, and compliance requirements with security teams
  • Document platform architecture, configurations, and standards

Requirements

What you’ll need
  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field
  • 3+ years of professional experience in platform engineering, data engineering, or data infrastructure roles
  • Hands-on experience administering and optimizing Snowflake, including warehouse sizing, cost management, security, and performance tuning
  • Experience building, deploying, and operating Apache Airflow environments and orchestrating production data pipelines
  • Experience with Microsoft Fabric or comparable modern data platform/lakehouse technologies
  • Familiarity with CI/CD tooling and practices for platform and infrastructure automation
  • Working knowledge of SQL Server, data warehouse infrastructure, and cloud-based data storage and compute environments
  • Understanding of metadata management, data cataloging, and data governance principles
  • Strong troubleshooting and performance-tuning skills across distributed and cloud-based data systems
  • Ability to create clear documentation, SOPs, and standards that other engineers can follow
  • Strong collaboration skills, with the ability to partner effectively with data engineering, analytics, and security teams
  • Self-starter who stays current with emerging data platform technologies and proactively recommends improvements
  • Exposure to Power BI Service, Power Automate, SAP Datasphere, SAP Analytics Cloud, or Business Objects is a plus

Benefits

Comp & perks
  • Annual bonus program
  • 401(k) with company match
  • Equity incentive program
  • Comprehensive medical, dental and vision benefits
  • Paid time off for vacation, holidays, and sick days