Sr. Data Engineer - Data Modeling & Governance (AI)

Location: United States of America; flexible hybrid work with occasional in-person events or team sessions.

Salary: $128,250–$266,875 per year, with potential discretionary annual bonus or commissions.

Company

hirify.global Mail provides a large-scale consumer email platform and data foundation supporting intelligent user experiences, analytics, AI/ML, product, marketing, commerce, finance, and business functions.

What you will do

• Architect, optimize, and maintain enterprise data models and schemas serving multi-tenant consumers across hirify.global Mail.
• Establish data governance practices covering ontologies, naming conventions, metadata, lineage, privacy, security, and automated quality validation.
• Design AI-ready data layers, feature stores, and pipelines for real-time ML models, generative AI agents, recommendations, and personalized product features.
• Optimize distributed data architectures across GCP, BigQuery, and Dataflow for performance and cost efficiency at petabyte scale.
• Use AI-assisted engineering tools to accelerate pipeline development, documentation, schema management, and anomaly detection while preventing schema drift.
• Lead design reviews, align data architecture with business goals, and mentor senior data engineers and engineering squads.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related discipline, or equivalent experience.
• 10+ years of professional software or data engineering experience owning enterprise-scale data models.
• Expertise in cloud-native distributed data architectures, data warehousing, schema optimization, and petabyte-scale systems.
• Experience designing data models, feature stores, and pipelines that feed production AI/ML models, recommendation engines, data products, or LLM applications.
• Experience with enterprise data governance, metadata management, schema evolution, data lineage, and AI-assisted development platforms.
• Strong familiarity with CI/CD, Terraform, container orchestration, and modern infrastructure practices.

Nice to have

• Enterprise-scale experience with GCP, AWS, BigQuery, Lakebase, or Snowflake.
• Experience with Pub/Sub, Dataflow, Kafka, Apache Flink, streaming systems, or low-latency distributed caching.
• Experience with graph databases, knowledge graphs, entity resolution, or relational data discovery.
• Experience validating AI-generated data pipelines and query outputs, including prompt engineering for technical documentation.
• Strong technical writing, architecture RFC authorship, communication, and mentoring experience.

Culture & Benefits

• Flexible hybrid work with advance notice for occasional office events or team sessions.
• Inclusive workplace with employee resource groups and a focus on continuous learning and growth.
• Healthcare benefits, 401(k), backup childcare, education stipends, and other employee benefits.
• Equal opportunity and accessibility support throughout the hiring and employment process.