Summary
✨ AI‑Generated
A senior data engineering leadership role focused on enterprise data platforms, scalable pipelines, governance, security, and integration of multiple business systems.
Highlights
Leadership role designing enterprise-scale data architectures, pipelines, governance practices, and optimization strategies.
Description
We are seeking a Lead Data Engineer with 14+ years in IT and 10+ years specializing in data engineering to build, optimize, and maintain high-performance cloud data pipelines.
You will lead the integration of enterprise systems into modern cloud architectures while ensuring robust data modeling, governance, and system performance.
Key Responsibilities
Design, build, and document end-to-end ELT/ETL data pipelines.Integrate enterprise data sources including SAP, Salesforce, and Shopify.Architect data models and implement data standardization, cleansing, and enrichment practices.Manage data security, access controls, and governance best practices.Optimize pipeline performance and troubleshoot complex data architectures.Qualifications
Education: Bachelor’s or Master’s in Computer Science, Data Science, or related field.Experience: 14+ years in IT, including 10+ years in Data Engineering.Database & Cloud: Advanced SQL (queries, stored procedures) and hands-on experience with modern cloud platforms (AWS, Azure, or GCP; Snowflake preferred).Tools & Languages: Proficiency in Python, Java, or C#; hands-on experience with orchestration tools (Apache Airflow, Azure Data Factory, dbt, Informatica, or Matillion).Snowflake Expertise (Preferred): Deep knowledge of RBAC, Virtual Warehouses, Streams, Zero-Copy Clone, Time Travel, and custom file formats.Core Competencies: Strong analytical, problem-solving, collaboration, and communication skills.
