Role responsibilities
Lead the architecture and delivery of enterprise business system data warehousing and integration initiatives to modernize the organization's data platform. Manage the team responsible for designing and supporting modern data pipelines while driving cloud adoption and engineering best practices.
Requirements
Requires a minimum of 10 years of experience in data engineering or software engineering, with at least 3 years in a technical leadership role. A Bachelor's or Master's degree in a technical field and proficiency in SQL, Python, and cloud platforms are required.
Key skills
Data Engineering, Data Warehousing, Cloud Architecture, SQL, Python, PySpark, Apache Spark, ETL/ELT, Data Modeling, Agile, DevOps, CI/CD, Infrastructure as Code, Technical Leadership, Enterprise Data Architecture, Vendor Management
Keywords
Microsoft Azure, AWS, GCP, Microsoft Fabric, Azure Synapse Analytics, Snowflake, Databricks, Amazon Redshift, BigQuery, Data Lake, Lakehouse, Metadata Management, Data Governance, CMMC, ERP, HCM, CRM, Infrastructure as Code, PySpark, Apache Spark, Relational Database Management Systems, CI/CD, Agile, DevOps, Data Integration, Enterprise Architecture, Cloud Migration, Data Lifecycle Management, Software Reuse, Cybersecurity