24 hours ago
Base Salary
$201k - $250k/yr
Responsibilities
- Define architecture and technical direction for the Semantic Data Lake and next-generation Data-as-a-Service platform.
- Design and build semantic business objects containing enterprise data, relationships, business context, metrics, rules, lineage, quality, and governance.
- Develop scalable frameworks and standards for semantic objects across multiple business domains.
- Build platform capabilities for semantic modeling, ontology, metadata, knowledge graphs, data quality, lineage, data contracts, and governance.
- Translate complex business concepts into reusable technical models and platform capabilities.
- Enable AI and agentic applications to discover, understand, reason over, and safely use trusted enterprise data.
- Design reusable APIs, services, frameworks, and developer experiences for data products and AI experiences.
- Solve distributed systems, data processing, scalability, reliability, and performance challenges.
- Establish architectural standards, influence adoption across teams, mentor engineers, and provide technical guidance.
- Remain hands-on with architecture, design, prototyping, code, and critical platform components.
Requirements
- 10+ years of experience in software engineering, data engineering, distributed systems, data platforms, or related technology areas.
- Experience operating at Staff, Principal, or equivalent technical scope.
- Deep software engineering and distributed systems expertise building large-scale production platforms.
- Strong understanding of modern data architecture, large-scale data processing, streaming, lakehouse architectures, data products, and distributed systems.
- Deep understanding of semantic data technologies; direct experience building a semantic data layer is strongly recommended.
- Experience with semantic modeling, ontology, metadata platforms, knowledge graphs, data catalogs, enterprise data modeling, or related technologies.
- Ability to translate complex business concepts into scalable abstractions and reusable platform capabilities.
- Understanding of data quality, governance, lineage, security, privacy, and operational reliability.
- Experience building platforms adopted by multiple engineering teams, business domains, or product organizations.
- Strong architectural judgment, technical influence, cross-functional alignment, and communication skills.
- Preferred experience with AI/ML, generative AI, RAG, agentic applications, knowledge representation, semantic search, context engineering, graph technologies, or modernization of enterprise data ecosystems.
- Preferred experience with Spark, Flink, Kafka, Iceberg, Snowflake, Databricks, cloud-native data services, graph databases, or equivalent large-scale data technologies.
Benefits
- Health, dental, and vision insurance.
- Retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, and tuition reimbursement.
- Non-sales roles are typically eligible for a quarterly or annual bonus under the applicable plan.
Tech Stack
Categories
Data Engineering
About WEX
WEX is a public financial technology company that provides corporate payment solutions to fleets, healthcare/benefits administrators, and travel businesses. Its products include fuel and mobility cards, virtual card payments, and platforms for HSAs/FSAs/HRAs, with revenue from payment processing and software/service fees. Founded in 1983 and headquartered in Portland, Maine, WEX trades on the NYSE under WEX and was formerly known as Wright Express.