TL;DR

Director, Data Infrastructure & Engineering (Data Platform): Owns the architecture and operations of the centralized data infrastructure, enabling a federated data strategy across the company with an accent on ingestion to transformation and governed access. Focus on collaborating with cross-functional teams, ensuring reliability, performance, and scalability of systems and platforms that power analytics and AI use cases at scale.

Company

%hirify_global% is the leader in AI and ERP solutions for local and state governments in the U.S.

What you will do

End-to-end ownership of the foundational data stack, including Snowflake, dbt, Fivetran, and orchestration frameworks.
Design, implement, and evolve a scalable data infrastructure to support federated data product development.
Lead implementation of ELT/ETL pipelines for analytical and AI/ML-driven use cases.
Define and enforce governance, access control, and lineage across the data warehouse and transformation layer.
Build and maintain platform reliability, scalability, and cost efficiency standards and automation.
Act as a strategic partner to analytics, AI, and domain teams, enabling them to ship data products independently and securely.

Requirements

10+ years of experience in data engineering or infrastructure roles, ideally with experience in platform or central ops environments
Expertise with tools like Snowflake, dbt, Fivetran, and orchestration frameworks (Airflow, Dagster, etc.).
Strong understanding of cloud-native data architecture, multi-tenant models, and infrastructure-as-a-service principles.
Experience supporting analytical and AI/ML use cases, with an understanding of their data infrastructure needs.
Proven ability to scale platforms for federated and decentralized team structures.
Leadership experience.

Nice to have

Experience operationalizing data governance and access control in federated orgs.
Familiarity with metadata, lineage, and discovery tooling (e.g., DataHub, Amundsen).
Exposure to streaming systems, observability, and data privacy compliance (e.g., GDPR).
Background in supporting AI/ML workflows and production-grade data pipeline.

Culture & Benefits

Comprehensive healthcare options for individuals and families.
Flexible vacation policy and paid company holidays.
401(k) with company match (USA only).
Paid parental leave, wellness stipends, and HSA contributions.
Professional development and growth opportunities.
A collaborative office environment with weekly catered lunches.