Data Engineer at Studyportals responsible for data pipelines and infrastructure. Join a team ensuring accurate and trustworthy data for analytics and business decisions.
About the role
- Data Architect responsible for designing enterprise data architecture at Kuros Biosciences. Collaborating with IT and business stakeholders to establish data strategies and governance.
Responsibilities
- Establish the data architecture domain from scratch in alignment with Head IT
- Set and establish data architecture standards, data governance, best practices, and policies for data management, security, and quality
- Develop, optimize, and maintain conceptual, logical, and physical data models and database systems based on existing and future application landscape
- Collaborate with business analysts, CISO, the IT team and other stakeholders to understand current data structures as well as new requirements and translate them into technical solutions to handle Kuros’ data efficiently
- Plan, implement and establish master data management
- Oversee and guide the implementation of a records management system
- Identify data solutions, determine the requirements, select, install and implement them
- Drive the application of new data-related technologies (i.e. ML and AI) and tools in alignment with IT Architecture
- Advise on system integrations with a focus on existing data structures and data landscape (i.e entity master / slave)
- Ensure compliance with data governance and privacy regulations
- Document data architecture, processes, and flows to support ongoing maintenance and knowledge sharing
- Monitor and troubleshoot database performance in collaboration with IT providers
Requirements
- Master's degree in mathematics, computer science, information technology or related field
- Experience of at least 5 years as a Data Architect, Data Engineer, Database Administrator, or similar role
- Experienced with all aspects of data architecture to design and implement a data architecture domain from scratch, specifically with:
- Data governance
- Data modeling and respective tools
- Big data platforms (e.g., Hadoop, Spark), cloud data solutions (e.g., Azure, AWS, Google Cloud)
- Database management software and systems (e.g., SQL Server, Oracle, MySQL, PostgreSQL)
- Data warehousing
- ETL tools and frameworks
- Master data management
- Data integration
- API integration
- SQL
- Python / R
- Business intelligence and reporting tools
- Certifications in data architecture, cloud platforms, or database technologies preferred.
Benefits
- Great benefits
- Opportunities for career growth
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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