Prime Holding JSC (Prime) is a leading software product innovation company and IT consultancy that offers guidance and actionable solutions to tech problems. We at Prime are passionate about applying the newest technology to solve the most challenging business problems of our clients worldwide. We understand what drives fast-growing companies forward and are excited to help them change the world.
We are looking for a Data Architect in the area of Gene Therapy Data Sciences.
The role in a nutshell:
As a Data Architect, you can expect a versatile position in a creative work environment,
in which you support active portfolio projects in the laboratory by digitization and data
modeling, as well as drive strategic initiatives in data sciences, data architecture and
engineering, and IT/OT. In the open field of our current and future tasks, you have a
wide range of opportunities to initiate your own approaches and new directions.
Main tasks of the role:
You support business systems architects, business systems analysts and data scientists on strategic data initiatives.
You support the data architecture needs of multiple teams, systems and products.
You are responsible for the development and expansion of data pipelines and the delivery of new data products using the variety of tools available as part of Roche’s next generation data platform.
You are responsible for optimizing data architecture for cross functional teams across a variety of business areas as well as serving as a subject matter expert for technical tools within their domain and educating others on the team on best practices in their implementation.
You gather, analyze and document business and functional data product and system requirements. Translate needs of the business, into applicable system design solutions via prototyping and configuration. Set and influence cross-divisional strategies and business processes.
Understand strategic data needs of the business and translate into data system architecture and design. Partner with internal and external departments to improve processes, detail of data, and business applications. Assist in providing estimates of task effort and resource skills needed.
You work as part of a cross-skilled team to understand, design and build data pipelines in order to maximize value of data in the organization
Skills and Qualifications:
You are an experienced data wrangler who enjoys optimizing data systems.
You have extensive knowledge of and/or are eager to work with modern architectures (e.g. Event-driven architecture, DataMesh).
You have extensive knowledge of data warehouse, data mart, and data lake concepts.
You know how to design, build, scale and optimize data-driven solutions.
You have knowledge of data processing pipelines (e.g. with Apache Spark, Apache Kafka, Mulesoft ESB, etc.)
You have knowledge of different types of data stores (OLTP and OLAP with SQL, ElasticSearch, document and graph databases) and data modeling.
You design & implement the data governance/stewardship, operating model and roles and responsibilities.
You are open to new ideas and question conventional thought patterns and work processes.
You value working in a performance driven environment, fueled by mutual respect, discussion, and collaboration.
You have strong communication and networking skills.
Your fluent English allows you to work efficiently in a global environment.
What we offer:
Competitive remuneration package
Health insurance – VIP package
Food vouchers and corporate discounts
Work-life balance: 25 days paid vacation + work from home policy
Designated budget for home office equipment
Bonuses for special occasions
Access to technical books library, both off- and on-line
Internal trainings and team-buildings
Challenging projects offering the opportunity to work on world-class products
So, if you’re looking for a role where you will be challenged to learn, grow, and have a high impact and aspire to become a multi-faceted professional that can be utilized in fast-paced environments to optimize processes, systems, and overall business strategy, you seem like someone we’d like to meet.
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