Data Engineering Lead
Core
Lead data engineering teams to build scalable data platforms, AI-enabled solutions, and customer data ecosystems that drive business outcomes.
Role type
Senior IC Data Engineering Lead (Player-Coach)
Builds
Cloud-native data platforms, ELT/ETL pipelines, customer data platforms (CDP), and AI-ready data architectures.
Domain
Data Engineering, Cloud Platforms, Customer Data Platforms, AI/ML
Deliverable
production ML models | product features
Required skills
Data engineering, Cloud platforms (Snowflake, Databricks, BigQuery, Azure Synapse, Redshift), SQL, Python, Data orchestration (dbt, Airflow, Azure Data Factory, Dagster, Prefect), Data modeling, Data governance, CI/CD, Team leadership
Preferred skills
Customer data platforms (Adobe AEP, Salesforce Data Cloud), Infrastructure as Code (Terraform), AI/ML technologies, Feature engineering, Pre-sales/Consulting
Technologies
Snowflake, Databricks, Google BigQuery, Microsoft Fabric, Azure Synapse, Amazon Redshift, dbt, Apache Airflow, Azure Data Factory, Dagster, Prefect, Terraform, AWS, Google Cloud Platform, Microsoft Azure
Responsibilities
Lead and mentor high-performing data engineering teams; Drive technical delivery of complex data initiatives; Establish engineering best practices (CI/CD, testing, observability); Partner with clients to translate business goals into engineering solutions; Evaluate and adopt emerging technologies (AI, cloud-native analytics).
Seniority
Senior, hands-on IC with leadership responsibilities
