Principal Data Engineer (AI)

TL;DR

Principal Data Engineer (AI): Leading the design and implementation of scalable data systems for a customer experience platform with an accent on data architecture, governance, and automation. Focus on building resilient data pipelines and driving modernization initiatives across the data ecosystem.

Company

hirify.global is a global community focused on innovation and client success through a comprehensive customer experience and data platform.

What you will do

• Lead the design and implementation of scalable, secure data systems.
• Architect data pipelines and storage solutions using Python and SQL.
• Leverage AI to automate data processing and engineering tasks.
• Drive best practices in data infrastructure and governance.
• Collaborate with cross-functional teams to deliver coherent data outcomes.
• Support the adoption of data engineering principles within the team.

Requirements

• Extensive experience in Python and SQL for data engineering.
• Experience with SQL and NoSQL databases (e.g., SQL Server, MongoDB).
• Proven experience with data warehousing tools (e.g., Snowflake, BigQuery).
• Hands-on experience with data orchestration tools (e.g., Airflow).
• Experience in cloud environments (e.g., Azure, AWS).
• Strong grasp of data architecture principles for OLAP and OLTP workloads.

Nice to have

• Experience with ClickHouse in data pipelines.
• Experience with Databricks or similar platforms.

Culture & Benefits

• Flexible work culture promoting work-life balance.
• Opportunities for personal and professional growth.
• Global benefits including parental leave and medical benefits.

Hiring process

• 15 min Screening Call with Talent Team.
• Role deep dive with hiring manager(s).
• Technical interview with data team.