Director, Data Engineering & Analytics

About the role

Director, Data Engineering & Analytics at Metropolis. Lead, mentor, and grow high-performing Data Engineering, Analytics Engineering, and BI Development teams while establishing engineering best practices, career ladders.

What you'll do

• Lead, mentor, and grow high-performing Data Engineering, Analytics Engineering, and BI Development teams while establishing engineering best practices, career ladders
• Define team charters, OKRs, and strategic roadmaps aligned with company-wide goals while hiring, developing, and retaining top engineering talent
• Own the end-to-end vision, architecture, and execution of the data platform from ingestion and storage to transformation, serving
• Ensure platform governance, documentation, and trust by implementing robust data quality, lineage, observability, and compliance standards in partnership with Security
• Champion AI/ML infrastructure by partnering with Data Science and AI Engineering teams to power real-time and batch insights, accelerate model development

What you need

• 8–14 yrs of experience
• Analytics
• Machine learning
• LLMs
• dbt
• Snowflake
• BigQuery
• Any graduate

Good to have

• Databricks
• ETL
• Data modelling
• Spark
• Airflow
• Kafka