Website DHL
Position Summary:
As a leader in DHL eCommerce Data Architecture topics, you will provide best-fit architectural solutions to manage our global data ecosystem. You will work with key stakeholders, business partners, IT counterparts and the Enterprise Architect function to define requirements, identify source data, assist with detailed data models, analyze and validate data, troubleshoot data issues, and promote data quality. You will design, develop and support data services that ensure the fulfillment of business information needs and support our digitalization journey.
The primary focus of the Big Data Architect is to improve the consistency, timeliness, quality, security and delivery of data while removing unnecessary costs from the complex, fragmented, heterogeneous data architecture.
Key Responsibilities:
- Design and implement redundant systems, policies, and procedures for disaster recovery and data archiving to ensure effective availability, protection, and integrity of data assets.
- Designing new data movements: Having documented the status quo – the sources of data and how the data is moved around – you will then look at how this movement can be improved.
- Documenting existing data movement: record how data movement is happening. You will coordinate efforts and foster consistency while documenting the frequency of movement, the source and destination of each step, how the data is transformed as it moves, and any aggregation or calculations.
- Develop a technical center of excellence within the analytics organization through training, mentorship, and process innovation.
- Act as a subject matter expert for technical guidance, solution design and best practices within the Business Analytics organization.
- Defining integrative views of data: These views will draw together data from across the domains.
- Some views will use a database of extracted data – others will bring together data in “near real time.” You will work with business people and data engineers and application designers to identify and model these integrative views and determine the quality of service requirements — data currency, availability, response times and data volumes.
- Create the Master Data Management strategy as well as the data governance and data security.
- Mapping data sources: An understanding of where data is stored and maintained. Although the application teams are responsible for documenting the details of application data, you must know where data is maintained and accessed.
- Keep current on big data and data visualization technology trends, evaluate, work on proof-of-concept and make recommendations on the technologies based on their merit.
Required Education & Experience:
- Experience with end user support and training.
- Self-motivated and independent critical thinker.
- Functional knowledge of labor management practices.
- High level of ownership, confidentiality, and attention to detail.
- Strong organizational and project management skills.
- Bachelor’s degree in Business Administration or related field preferred.
- Extensive knowledge of large-scale automated timekeeping systems (e.g. ADP eTime, Kronos).
- Understand business objectives and how technology can optimize and enable solutions.
- Ability to build strong partnerships, influence decisions, and communicate complex work in a clear and concise manner across a variety of audiences.
- 6 – 7 years of experience in large-scale automated timekeeping systems.
- Extensive knowledge of payroll practices, including local, state, and federal policies and regulations.
- Ability to interact professionally with a diverse group, business analysts, managers, and subject matter experts.