Platform Engineer

Lever, Inc.; New York (NY); On-site; USD 108,000 - 164,000; Full time

Benefits offered by this job

Annual bonus program

401(k) with company match

Equity incentive program

Medical, dental and vision benefits

Paid time off

Job summary

HAS I is seeking a Platform Engineer to join its Data Platform Engineering team. You will manage and enhance the platform stack, with a primary focus on Snowflake, Airflow, and Microsoft Fabric, while partnering with Data Engineering to drive repeatable processes and scalable pipelines.

You will evaluate new technologies, author SOPs, and own CI/CD pipelines to support development, QA, and production. This role emphasizes governance, security, and cost optimization across cloud data platforms.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field.
• 3+ years in platform/data engineering or data infrastructure roles.
• Hands-on Snowflake administration and cost/perf tuning.
• Experience with Airflow environments and production data pipelines.
• Experience with Microsoft Fabric or comparable modern data platforms.
• Familiarity with CI/CD tooling for automation.
• Knowledge of SQL Server and cloud data storage/compute.
• Understanding of metadata management and data governance.

Responsibilities

• Manage and enhance the data engineering platform stack focused on Snowflake, Airflow, and Microsoft Fabric.
• Evaluate new technologies and propose platform upgrades to improve capability and cost.
• Create and maintain SOPs for platform usage and onboarding across tools.
• Collaborate with Data Engineering to implement reusable processes, standards, and code controls.
• Configure Snowflake environments (warehouses, roles, monitoring, access).
• Build and maintain Airflow orchestration environments and deployment standards.
• Administer Microsoft Fabric workloads and ensure integration with existing platforms.
• Own CI/CD pipelines for platform changes across environments.
• Contribute to metadata/catalog tooling for data discoverability and governance.
• Monitor availability, performance, and cost; resolve issues proactively.
• Support platform upgrades, patches, and deprecations; work with security teams.
• Document architecture and standards for knowledge sharing.

Skills

Snowflake

Airflow

Microsoft Fabric

CI/CD

Data governance

SQL Server

Power BI Service

SOPs

Security controls

Education

Bachelor's degree in CS/IS/Data Engineering

Tools

Snowflake

Apache Airflow

Microsoft Fabric

SAP Datasphere/Analytics Cloud

Power BI Service

Job description

About HASI

HASI is an investor in sustainable infrastructure assets advancing the energy transition. With more than $17 billion in managed assets, our investments are diversified across multiple asset classes, including utility-scale solar, storage, and onshore wind; distributed solar and storage; RNG; and energy efficiency. We combine deep expertise in energy markets and financial structuring with long-standing programmatic client partnerships to deliver superior risk-adjusted returns and measurable environmental benefits. HA Sustainable Infrastructure Capital, Inc. is listed on the New York Stock Exchange (Ticker: HASI). For more information, please visit hasi.com.

Position Summary

The Platform Engineer is a member of the Data Platform Engineering team, which builds, operates, secures, and evolves HASI's enterprise data technology stack. The team owns the technology platforms that power the business — including Snowflake, Airflow, SQL Server, Power BI Service, SAP Datasphere, SAP Analytics Cloud, Power Automate, Jupyter Hub, Business Objects, Kyriba, Sigma/Thoughtworks, and the broader data warehouse and metadata/catalog tooling ecosystem — not the business data or business logic that runs on top of them.

This role manages and enhances the platforms that data engineering relies on day to day, with primary focus on Snowflake, Airflow, and Microsoft Fabric. The Platform Engineer evaluates new and emerging technologies in the market, builds standard operating procedures (SOPs) for platform usage, and partners closely with the Data Engineering team to establish repeatable processes and code controls that make pipelines, models, and integrations reusable across projects.

Key Responsibilities

• Manage, maintain, and continuously enhance the data engineering platform stack, with particular focus on Snowflake, Airflow, and Microsoft Fabric
• Evaluate new and emerging technologies in the market and recommend platform additions, replacements, or upgrades that improve capability, cost, or performance
• Author and maintain Standard Operating Procedures (SOPs) for platform usage, onboarding, and administration across the data platform toolset
• Partner with the Data Engineering team to define and implement new processes, coding standards, and code controls that promote reusability and consistency across pipelines and integrations
• Configure, administer, and tune Snowflake environments, including warehouses, roles, resource monitors, and access controls, to balance performance and cost.
• Build, monitor, and maintain Airflow orchestration environments, including DAG deployment standards, environment configuration, and job reliability
• Support and administer Microsoft Fabric workloads, ensuring proper configuration, capacity management, and integration with existing platforms
• Own platform automation and CI/CD pipelines used to deploy and promote platform changes across development, QA, and production environments
• Contribute to metadata and catalog tooling to improve data discoverability, lineage, and governance across the platform
• Monitor platform availability, performance, and cost, and proactively identify and resolve issues before they impact users
• Support upgrades and lifecycle management of platform components, including patching, version upgrades, and deprecations
• Collaborate with security teams to implement and maintain platform security controls, access management, and compliance requirements
• Document platform architecture, configurations, and standards to support operational maturity and knowledge sharing across the team

Qualifications

• 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
• Exposure to additional platform tools such as Power BI Service, Power Automate, SAP Datasphere, SAP Analytics Cloud, or Business Objects is a plus
• 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

$108,000 - $164,000 a year

$108,000-$164,000 based on experience and location. In addition, HASI offers an annual bonus program; 401(k) with company match; an equity incentive program; comprehensive medical, dental and vision benefits; paid time off for vacation, holidays, and sick days; and much more.

WORK AUTHORIZATION

HASI is willing to take over sponsorship for existing H1-B visas for exceptional talent. We are unable to provide new H-1B sponsorship at this time.

EEO STATEMENT

The Company maintains a policy of non-discrimination in employment and complies with and supports all Federal, state, and local laws regarding discrimination in employment. Specifically, the Company does not discriminate in employment opportunities or practices against any employee, intern, or applicant on the basis of race, color, gender, sex, sexual orientation, gender identity, religion, ancestry, national origin, age, citizenship status, marital status, pregnancy (including childbirth, lactation, or related medical conditions), mental or physical disability, veteran status, uniformed servicemember status, genetic information (including testing and characteristics), or any other characteristic to the extent prohibited by federal, state, or local law. Decisions regarding staffing, selection, and promotions are made on the basis of individual qualifications related to the requirements of the position. If you need reasonable accommodation for a job opening, please connect with us at [e-mail] and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process.