layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

Data Platform Engineering Lead at HASI | LAYIQ

Platform Architecture & Roadmap: Own the architecture and multi-year roadmap for HASI's enterprise data platform, balancing business requirements, engineering needs, security, scalability, reliability, and cost.
Platform Engineering & Automation: Establish modern platform engineering practices across the environment, including CI/CD, infrastructure and configuration automation, deployment pipelines, testing, environment management, source control, and engineering standards.
Platform Reliability & Operations: Engineer platforms for production reliability. Establish observability, monitoring, incident response, change management, operational runbooks, capacity management, and other practices required to operate critical enterprise platforms at a high standard.
Security: Own the technical security of the data platform in partnership with Cybersecurity, including identity and access controls, data protection, secure configuration, auditability, and compliance with internal and regulatory requirements.
Performance & Cost Optimization: Continuously evaluate platform utilization, performance, scalability, reliability, and cost. Identify inefficiencies and architectural improvements and ensure HASI is getting appropriate value from its platform investments.
Integration Enablement: Design and enable reusable integration patterns and platform capabilities that allow Data Engineering, BI & Data Products, AI Product Engineering, and enterprise applications to connect to data and services efficiently and consistently.
Platform Standards & Lifecycle Management: Establish technical standards and best practices across the platform ecosystem and own upgrades, patching, migrations, version management, technical debt reduction, and end-of-life planning.
Metadata & Catalog Platforms: Own the technical platforms and capabilities that enable metadata management, data cataloging, lineage, and data discoverability across the enterprise, in partnership with Data Engineering & Architecture and Data Governance.
Engineering Leadership: Provide technical direction to platform engineers, establish a high engineering bar, mentor team members, and help build the Platform Engineering function as the organization grows.
Cross-Functional Partnership: Work closely with Data Engineering & Architecture, BI & Data Products, AI Product Engineering, Cybersecurity, enterprise applications, and business teams to understand requirements and translate them into durable platform capabilities.
Technology Strategy: Stay current with developments across cloud, data infrastructure, platform engineering, and developer tooling. Evaluate emerging technologies and lead build-vs-buy and vendor decisions based on capability, architecture, cost, security, operational complexity, and risk.
Platform Outcomes: Define and report on measures of platform health and maturity, including availability, performance, security, adoption, reliability, deployment efficiency, operational maturity, and cost optimization.
Required Qualifications
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 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 hiring@hasi.com 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.

Data Platform Engineering Lead

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