Platform Engineer

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