It Engineer Data Lakehouse - Tech Lead

Job Description

Govern the enterprise-wide standards for data & analytics modeling and performance within the Databricks Lakehouse.

• Drive consistency and reuse of core data & analytics artifacts and ensure scalable integration across all business domains.
• Provide expert consulting, quality assurance, and enablement for data engineering and data science teams.
• Act as a design authority for data warehouse, semantic modeling, and advanced analytics integration.
• Acts as the senior engineering point of contact for the lakehouse layer across global teams.
• Coordinates with 25+ data engineering and data science professionals across domains and geographies.
• Collaborates closely with platform architects, data scientists, governance teams, and functional IT globally.

Main Tasks :

Qualifications

certifications in Databricks or Microsoft preferred.

6–10 years in data engineering with focus on enterprise data & analytics warehouse, lakehouse modeling, and ML integration.

Hands-on experience designing large-scale semantic, warehouse, and advanced analytics layers.

Track record of architectural ownership and peer enablement with diverse teams.

Experience working in international teams across multiple time zones and cultures, preferably with teams in India, Germany, and the Philippines.