Role: Sr. Data Engineer (Workday HR DATA)
Location: Remote
Duration: 03+ to 6+ months with possible extension
Pre Screening Question
- Describe a specific project where you had to model time based HR data?
Hiring Manager is Looking (Must)
- Modeling HR data and Workday required
- We are looking for someone to apply their technical expertise, leadership skills, and commitment to quality to positively impact safe human spaceflight. Passion for our mission and vision is required!
Responsibilities:
- Collaborate with business partners to identify business problems, generate ideas to tackle the problems, test hypothesis through rapid prototyping and stablish target state architecture to achieve business goals
- Define, publish, and communicate data strategy, standards, patterns, reference architectures, frameworks, and roadmaps to enable data sharing across the enterprise
- Partner with other architecture fields to design data solutions with a strong focus on security, scalability, observability and operational excellence
- Apply the latest research and industry trends to build best in class enterprise data solutions for data consumers
- Be a hands-on architect. Build solution prototypes and conduct experiments to evaluate architectural alternatives
- Manage, Govern and promote enterprise data model management practice
- Develop enterprise conceptual, logical and physical data models for batch and streaming architectures
Qualifications:
- Bachelor’s degree in Computer Science or equivalent
- Experience with modeling HR data and Workday required
- 5+ years with advanced SQL and scripting (python/pyspark) development
- 2+ Experience with cloud based infrastructure (databricks/redshift)
- 5+ years of enterprise data architecture, design patterns, tradeoff analysis and delivery acceleration in cloud-native environments
- 3+ years of data solutions enabling Analytical, Operational, Data Science and ML data flows
- 2+ years developing or working with taxonomies/ontologies
- Experience working/collaborating with Master Data Management and Data Governance
- Excellent verbal and written communications skills
- Ability to earn trust, maintain positive and professional relationships, and contribute to a culture of inclusion
Desired:
- Master's degree or higher in Computer Science, Mathematics, Statistics, or similar analytical field
- Experience with data modeling tools such as DBT