Data Architect

Andersen is hiring a Data Architect to design and scale a vehicle intelligence data platform, building robust data architectures, warehouses, and APIs to support analytics and long-term scalability. 

The customer is an international organization operating in the automotive domain. It develops services and platforms that support vehicle ownership and enthusiast communities, combining digital solutions, content, and engagement initiatives. The customer focuses on long-term community building and the promotion of automotive culture across global markets. 

The project is focused on designing and scaling a vehicle intelligence data platform, treating data as a strategic asset to deliver advanced master data and data products. It involves building robust data architectures, warehouses, and APIs that support intelligent analytics, domain-driven data models, and long-term platform scalability. 

Responsibilities: 

- Eliciting, Analyzing and Clarifying Business Requirements helps turn those into technical requirements for data and master data rules. 

- Developing and implementing a comprehensive Vehicle Master Data Model Data Mapping and Non-Functional Requirements Set to ensure consistent and accurate vehicle data usage across all Hagerty platforms and systems. 

- Providing architecture expertise to help recommend / guide the implementation of both a near term and long-term solution to allow robust data products that will support both operational and analytic and AI/ML products. 

- Engaging with business stakeholders and data stewards to facilitate decision-making processes and foster a deeper understanding of data. 

- Driving innovation in data architecture, fostering the creation of novel intellectual property, ensuring differentiation from Hagerty’s competitors, and impacting business growth and resiliency. 

Must-haves: 

- Experience as a Data Architect with a focus on the insurance domain, including vehicle insurance and vehicle taxonomies, for 5+ years. 

- Experience with design, modeling, and requirements development for Master Data Domains. 

- In-depth understanding of database structure principles. 

- Experience analyzing large data sets from diverse domains. 

- Experience in modeling ontologies and taxonomies. 

- Experience gathering and analyzing system requirements. 

- Understanding predictive modeling, NLP and text analysis, Machine Learning. 

- Level of English – from Upper-Intermediate and above. 

 Nice-to-haves:  

- This team respects and encourages architectural fundamentals, and you will be giving ownership of initiatives that drive real value to the business. 

- A Bachelor’s degree in Computer Science (or equivalent experience). 

 Reasons why this job would be interesting to you: 

- Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc.. 

- The opportunity to change the project and/or develop expertise in an interesting business domain. 

- Job conditions – you can work both fully remotely and from the office or can choose a hybrid variant. 

- Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee. 

- The opportunity to earn up to an additional 1,000 USD per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities. 

- Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated. 

- Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies). 

- Certification compensation (AWS, PMP, etc). 

- Referral program. 

- English courses. 

- Private health insurance and compensation for sports activities. 

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