Senior Data Engineer
Core
Lead the design, architecture, and delivery of enterprise-scale data platforms for Fortune 500 clients, enabling analytics and AI initiatives.
Role type
Senior/Lead Data Engineer (Client-facing)
Builds
Enterprise data platforms, scalable ETL/ELT frameworks, Lakehouse architectures, and cloud-native data solutions.
Domain
Enterprise Data Engineering, Cloud Platforms, Data Modernization
Deliverable
production ML models | product features | infrastructure
Required skills
Databricks, Apache Spark, Python, SQL, Cloud Architecture (AWS/Azure/GCP), ETL/ELT, Data Governance, CI/CD, Infrastructure-as-Code
Preferred skills
Delta Lake, Unity Catalog, Terraform, Kafka, Snowflake, dbt, Kubernetes, Docker, MLflow
Technologies
Databricks, Apache Spark, Python, SQL, AWS, Azure, Google Cloud Platform, Terraform, Delta Lake, Unity Catalog, Kafka, Snowflake, dbt, Airflow, Kubernetes, Docker, MLflow
Responsibilities
Lead architecture and implementation of enterprise data platforms; Partner with Fortune 500 clients to define technical strategy; Mentor and coach Data Engineers; Design and optimize data pipelines and Lakehouse architectures; Architect cloud-native platforms and implement IaC; Implement data governance and security frameworks.
Seniority
Senior, hands-on IC with leadership responsibilities
