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HASIPosted 23 days ago

Platform Engineer

Full-time
Hybrid
3+ years
Competitive
Posted 23 days ago

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 admin

Posted
23 days ago
Source
jobs.lever.co
Sector
Electrical Engineering

Opens the employer's application page in a new tab

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
  • 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
  • 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

Preferred

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

Required skills

Apache AirflowCI/CDData CatalogingData GovernanceData Warehouse InfrastructureMetadata ManagementMicrosoft FabricPerformance TuningPlatform AutomationSQL ServerSnowflake

Full job description

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

Preferred

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

Benefits

  • HASI is willing to take over sponsorship for existing H1-B visas for exceptional talent.
  • Hybrid work arrangement
  • HASI is a financial firm that provides investment, energy transition, clean energy, and climate finance services.
  • Annapolis, Maryland, USA
  • https://www.hasi.com/
  • Public Company
  • Total Funding
  • $2.1B
  • 2026-06-15
  • Post Ipo Debt· $1B
  • 2026-02-18
  • Post Ipo Debt· $600M
  • 2025-11-13
  • Post Ipo Debt· $500M
  • Leadership Team
  • Jeffrey Lipson
  • President and Chief Executive Officer
  • Nitya Gopalakrishnan
  • Chief Operating Officer
  • Recent News
  • WBJournal.com
  • Ameresco CFO to depart company in September
  • 2026-08-21
  • Morningstar.com
  • HASI Prices $1 Billion of 5.950% Green Senior Unsecured Notes Due 2033
  • 2026-06-16
  • Business Wire
  • Anaergia Secures C$58M Contract with Neogenyx Fuels, Expanding Multi‑Year Revenue Visibility and RNG Platform Deployment
  • 2026-05-19
  • Company data provided by

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

Required skills

  • Apache Airflow, CI/CD, Cloud Data Storage and Compute, Data Cataloging, Data Governance, Data Warehouse Infrastructure, Metadata Management, Microsoft Fabric, Performance Tuning, Platform Automation, SQL Server, Snowflake

Experience

  • 3+ years

Job details

Employment type

Full-time

Seniority level

3+ years

Date posted

Oct 21, 2026

Work mode

Hybrid

Job source

jobs.lever.co

Company

HASI

Electrical Engineering

  • Annapolis, MD
  • Electrical Engineering

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