Comcast is a leading technology provider to small businesses and one of the fastest growing providers of Ethernet services. They are seeking a Lead Engineer in Data & Analytics to design, build, and oversee technology architecture and solutions for managing structured and unstructured data. This role involves developing data structures, ensuring data quality, and collaborating with various teams to optimize data processes. Responsibilities: Develops data structures and pipelines aligned to established standards and guidelines to organize, collect, standardize and transform data that helps generate insights and address reporting needs; Focuses on ensuring data quality during ingest, processing as well as final load to the target tables; Creates standard ingestion frameworks for structured and unstructured data as well as checking and reporting on the quality of the data being processed; Creates standard methods for end users / downstream applications to consume data including but not limited to database views, extracts and Application Programming Interfaces; Develops and maintains information systems (e.g., data warehouses, data lakes) including data access Application Programming Interfaces; Participates in the implementation of solutions via data architecture, data engineering, or data manipulation on both on-prem platforms like Kubernetes and Teradata as well as Cloud platforms like Databricks; Determines the appropriate storage platform across different on-prem (minIO and Teradata) and Cloud (AWS S3, Redshift) depending on the privacy, access and sensitivity Qualifications: Bachelor's Degree; 7-10 Years of relevant work experience; Data Engineering; Collaboration; Data Analytics Required Skills: Data Engineering, Data Analytics, Cloud Platforms, Data Warehousing, Data Quality Assurance