Senior Director, Data Engineering

Position Summary...

What you'll do...

Tech Problem Formulation Requires knowledge of Analyticsbig data analytics automation techniques and methods Business understanding Precedence and use cases Business requirements and insights To analyze the business problem within ones discipline and questions assumptions to help the business identify the root cause Identifies and recommends approach to resolve the business problem to create effective technology focused solutions Sets relevant deliverables based on the established success criteria and define key metrics to measure progress and effectiveness of the solution Quantifies business impact
Data Governance Requires knowledge of Data value chains Data processes and practices Regulatory and ethical requirements around data Data modeling storage integration and warehousing Data value chains identification ingestion processing storage analysis and utilization Data quality framework and metrics Regulatory and ethical requirements around data privacy security storage retention and documentation Business implications on data usage Data Strategy Enterprise regulatory and ethical policies and strategies To establish modify and document data governance strategies and initiatives Provides guidance to business stakeholders peers and junior associates on the implementation of data governance practices Helps business leaders understand and interpret company and regulatory policies around data Determines data governance processes practices policies and guidelines Drives the successful adoption of organizational data utilization Educates others on roles and accountability for data management Actively participates in external communities to grow and develop deeper understanding of political and regulatory changes that may happen from a data perspective
Understanding Business Context Requires knowledge of Industry and environmental factors Common business vernacular Business practices across two or more domains such as product finance marketing sales technology business systems and human resources and indepth knowledge of related practices Directly relevant business metrics and business areas To Evaluate proposed business cases for projects and initiatives Translate business requirements into strategies initiatives and projects and aligns them to business strategy and objectives and drives the execution of deliverables Builds and articulates the business case and return on investment and delivers work that has demonstrable value Challenge business assumptions on topics related to ones domain expertise Mentors the team members on new business insights and allied developments Proactively engages in the external community to build Walmarts brand and learn more about industry practices
Data Source Identification Requires knowledge of Functional business domain and scenarios Categories of data and where it is held Business data requirements Database technologies and distributed datastores eg SQL NoSQL Data Quality Existing business systems and processes including the key drivers and measures of success To define data requirements for various model types Directs usage of the appropriate internal and external data sources based on business and model requirements for example types of databases recommended data structures Defines data quality guidelines and aligns data governance
Data Transformation and Integration Requires knowledge of Internal and external data sources including how they are collected where and how they are stored and interrelationships both within and external to the organization Techniques like ETL batch processing streaming ingestion scrapers API and crawlers Data warehousing service for structured and semistructured data or to MPP databases such as Snowflake Microsoft Azure Presto or Google BigQuery Preprocessing techniques such as transformation integration normalization