Data Platform Engineering Lead

HASI is modernizing the technology foundation that powers data, analytics, AI, and business applications across the enterprise. We are seeking a Platform Engineering Lead to own and evolve that foundation and build the engineering discipline responsible for making it scalable, secure, automated, reliable, and cost effective.

This is a hands-on technical leadership role. You will own the architecture and roadmap for HASI's enterprise data platform, establish modern platform engineering and CI/CD practices, automate infrastructure and deployments, improve observability and operational reliability, and create reusable platform capabilities that allow data and product teams to move faster.

The role sits at the intersection of cloud infrastructure, data engineering, DevOps, security, and enterprise architecture. You will work across a technology ecosystem that includes Snowflake, Airflow, SQL Server, Power BI Service, SAP, JupyterHub, BusinessObjects and the broader data warehouse, integration, and metadata ecosystem.

Our operating model is intentionally clear: Platform Engineering owns the technology foundation. Data Engineering & Architecture owns the enterprise data and pipelines built on that foundation. BI & Data Products owns the business-facing analytical capabilities. Your job is to make the underlying platform exceptional.

This is an opportunity to take an existing enterprise technology landscape and transform it into a modern platform engineering capability. You will establish the architecture, engineering standards, automation, operating practices, and team that will support HASI's next generation of data, analytics, and AI capabilities.

• 7+ years of experience in platform engineering, data engineering, cloud infrastructure, DevOps, or a closely related technical discipline, with demonstrated ability to deliver and operate complex production technology environments
• Demonstrated experience owning enterprise platform architecture and translating architectural direction into a pragmatic multi-year technology roadmap
• Deep hands-on experience with modern data platforms and cloud data architecture, ideally including Snowflake, Airflow, and modern cloud data warehouse or lakehouse technologies
• Strong coding fundamentals, with proficiency in Python or an equivalent language and the ability to build platform tooling, automation, integrations, and services rather than relying exclusively on manual administration
• Strong experience with CI/CD, infrastructure automation, deployment automation, source control, environment management, and modern software engineering practices
• Experience designing and operating reliable production platforms, including monitoring, observability, incident management, performance optimization, capacity planning, and operational automation
• Strong understanding of cloud and data platform security, including identity and access management, secrets management, data protection, auditability, and secure platform configuration
• Experience designing integrations and reusable platform capabilities that enable other engineering and product teams to build and deliver effectively
• Ability to operate across strategy and execution. You can zoom out to define platform architecture and long-term direction and zoom in to troubleshoot a failed deployment, investigate a performance issue, or improve an automation pipeline
• Proven ability to evaluate technology and vendor decisions across capability, architecture, cost, security, operational complexity, and long-term strategic fit
• Proven track record of operating cross-functionally, building trust with technical and non-technical stakeholders, and translating requirements into scalable technical solutions
• Exceptional drive and ownership mentality. You set a high bar, hold yourself accountable for outcomes, and take responsibility for the reliability and quality of the platforms you own
• Clear, direct communicator who can explain architecture, tradeoffs, platform performance, and investment decisions to both technical and non-technical audiences
• Strategic thinker with an operator's bias, comfortable establishing long-term direction while remaining close enough to the technology to understand how it actually works
• Entrepreneurial and improvement-oriented mindset. You are energized by building capabilities, eliminating repetitive work through automation, improving engineering maturity, and making complex technology simpler for the teams that depend on it

• Experience building or materially modernizing an enterprise data platform or Platform Engineering capability
• Experience with Snowflake administration and architecture, Apache Airflow, SQL Server, and cloud infrastructure
• Familiarity with enterprise analytics platforms such as Power BI Service, SAP Datasphere, SAP Analytics Cloud, Sigma, or similar technologies
• Experience with infrastructure-as-code and configuration management technologies
• Experience with data catalog, metadata management, lineage, observability, or related platform technologies
• Experience supporting platforms used by data engineering, analytics, machine learning, or AI engineering teams
• Experience working in financial services, investment management, or another regulated or data-intensive industry
• Experience providing technical leadership to a small engineering team while remaining hands-on