Lowe's is looking to solve the problem of translating intricate cross-functional business requirements into logical program designs and modules, ensuring flexible, scalable, and maintainable solution designs for their data and platform initiatives. They also need to oversee the design, implementation, and maintenance of data warehouses to support analytical and reporting needs, and administer Bigdata/Hadoop infrastructure for next-generation analytics and data science capabilities.
Requirements
- Designing robust and scalable data architectures that align with business needs and industry best practices;
- Designing, implementing, and optimizing distributed computing systems for large-scale data processing;
- Creating and optimizing data models for efficient storage, retrieval, and processing of large datasets;
- Implementing robust data governance policies, ensuring data security, compliance, and privacy;
- Cloud platforms like AWS, Azure, or Google Cloud, including proficiency in leveraging cloud-native data services;
- Analyzing and optimizing the performance of data systems, including tuning queries, optimizing storage, and improving overall data processing efficiency.
- Big data frameworks and technologies such as Apache Hadoop, Apache Spark, and Apache Flink;
Responsibilities
- Translate intricate cross-functional business requirements and functional specifications into logical program designs and modules.
- Collaborate with cross-functional teams to ensure that specifications are transformed into flexible, scalable, and maintainable solution designs.
- Guide development teams in designing and building complex Data and Platform solutions.
- Oversee the design, implementation, and maintenance of data warehouses, ensuring they support the organization's analytical and reporting needs.
- Execute the development, maintenance, and enhancement of data ingestion solutions across various data sources, showcasing expertise in Data Ingestion.
- Execute the development, maintenance, and enhancement of BI solutions across different data sources, such as DBMS and File systems.
- Administer crucial and complex Bigdata/Hadoop infrastructure to facilitate next-generation analytics and data science capabilities.
Other
- Job requires a Bachelor’s degree* in Computer Science, CIS, Engineering or related field and 7 years of experience in any job title/occupation involving Data, BI, Platform Engineering, Data Warehousing/ETL, Databases, Software Engineering or a related field.
- Employer will accept single degree or combination of degrees, diplomas and/or professional experience equivalent to a Bachelor’s degree.
- some teleworking may be permitted.
- Travel to Lowe’s offices may be required.
- Ensure compliance with data governance and privacy regulations, including CCPA and HIPAA, when handling and storing data.
