Engineering Manager, Data Platform

Location: San Jose, California; hybrid workplace

Company

hirify.global is a SaaS company building products and analytics systems supported by a large-scale data platform.

What you will do

• Lead a team building and operating infrastructure for data ingestion, governance, storage, processing, access APIs, and observability.
• Write production code and make architecture decisions across Spark, Iceberg, Kafka/MSK, and streaming systems.
• Drive modernization and tooling choices involving Snowflake, dbt, Airflow, Trino, Athena, and AWS services.
• Improve data quality, lineage, access control, and compliance practices for GDPR and SOC 2.
• Hire, develop, coach, and provide direct feedback to engineers while owning the technical roadmap.
• Coordinate with stakeholders and handle technical recruiting and team-level delivery priorities.

Requirements

• 12+ years of software engineering experience in data infrastructure, distributed systems, or backend platform engineering.
• Production experience with Spark, including job tuning, Catalyst optimization, and PySpark versus Scala Spark decisions.
• Experience with Iceberg, Kafka/MSK, Airflow/MWAA, Trino or Athena, and cloud-native AWS services.
• Experience with Snowflake, dbt, data access APIs, or platform tooling.
• 2+ years of engineering management or formal technical leadership experience, including performance reviews, hiring, or significant technical programs.
• Strong communication skills and experience making technical trade-offs clear to product and business stakeholders.

Nice to have

• Experience in a startup or high-growth SaaS environment.
• Exposure to AI/ML data pipelines or real-time analytics.

Culture & Benefits

• Values authenticity, integrity, growth, collaboration, and customer focus.
• Engineering work emphasizes hands-on collaboration, technical ownership, and operational maintainability.
• Full-time employment in a hybrid workplace.