Job TitleThis job independently designs, develops, and manages advanced data structures and pipelines, ensuring data quality and accessibility. It strategically implements data solutions across various platforms, maintaining compliance with privacy and regulatory standards.
The role acts as a technical resource, optimizing data processes and storage to support key business initiatives.Job DescriptionStrong SQL proficiencyProgramming language proficiency (Python preferred)Proficiency in distributed computing frameworks (e.g., Apache Spark)Cloud Data Warehouse managementKnowledge of at least one of cloud provider (AWS, GCP, or Azure)Familiarity with data pipeline design patternKnowledge of data observabilityExposure to Embedded Business Intelligence like Looker is desired but not requiredExposure to modern data stack such as dbt, Airflow, Snowflake, Apache Spark is highly desiredExposure to Data Consumption challenges and solutions is highly desiredResponsibilities:Designing and constructing data architectures and pipelines to standardize, transform, and ensure the integrity of data for business insightsGuaranteeing data quality throughout the ingestion, processing, and loading phases, with a focus on maintaining high standardsEngineering robust ingestion frameworks for a variety of data types, while monitoring and reporting on data qualityDeveloping accessible methods for data consumption, including APIs, database views, and data extracts for user applicationsImplementing data solutions on multiple platforms such as Kubernetes, Teradata, and cloud services like AWS and DatabricksSelecting appropriate data storage platforms based on data sensitivity, privacy requirements, and access needsMastering data lineage and applying transformation rules for effective change management and issue resolutionCollaborating with cross-functional teams to refine data sourcing and processing, ensuring optimal data quality and efficiencyConsistent exercise of independent judgment and discretion in matters of significance.Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary.Other duties and responsibilities as assigned.Employees at all levels are expected to:Understand our Operating Principles; make them the guidelines for how you do your job.Own the customer experience think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.Know your stuff be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.Win as a team make big things happen by working together and being open to new ideas.Be an active part of the Net Promoter System a way of working that brings more employee and customer feedback into the company by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.Drive results and growth.Support a culture of inclusion in how you work and lead.Do what's right for each other, our customers, investors and our communities.Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.SkillsData Lake, Data Lakehouse Architecture, Data Transformation, Data Warehouse, Data Warehouse ETL, Python (Programming Language), Structured Query Language (SQL)EducationBachelor's DegreeWhile possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.Certifications (if applicable)Relevant Work Experience5-7 YearsComcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.