Data Architect

il y a 11 heures


Gent, Belgique Showpad Temps plein

**About Showpad**

In the old days, travelling salespeople hit the road with only a suitcase and a smile. And as times—and technology—have changed, Showpad has emerged as the industry-leading solution for modern selling that improves those classic tools of the trade.

In our case, the suitcase is more than a decade of expertise building the premier revenue enablement platform, one that continues to influence the direction in which the industry is evolving. And the smile? Well, that's the people oriented culture that surrounds everything we do.

We bring in great individuals, but we always play as a team. We'll enable you to grow like never before, and we'll grow with you, too. We are a European-born company with a global impact, but we like to keep things simple.

We are passionate and bold as well as humble and authentic. We empower each team member to be their true selves. We take ownership, and we also take vacations. And although we value constant improvement and frequent platform updates, we try not to deploy on Fridays.

That's why Showpad does more than drive impactful buying experiences. We take serious care of our people, but never take ourselves too seriously.

**_
Please note, that although you can work remotely for Showpad, you must be based in one of the following countries: Belgium, United Kingdom, Germany, Poland, France or The Netherlands_**

**About the position**

Showpad is searching for a data architect to join our Data Organisation. As part of our team, you will help formalise a cohesive data strategy and implement our Data Governance program. Your responsibilities include requirements gathering, unifying data models, and working with our data engineers on data quality and systems topics.

**Responsibilities**
- Develop and implement an overall data strategy that is in line with business processes
- Translate the data strategy into an architecture vision and road map in collaboration with our Enterprise Architecture team
- Identify data sources, both internal and external, and work out a plan for data management that is aligned with our data strategy
- User requirements gathering
- Map out organisational data flow
- Work with our Data Platform team to align on topics such as database structure, data storage, and data quality checks
- Help define and roll out a data governance program throughout the organisation
- Work with our data scientists and analysts to understand our future data needs
- Oversee the migration of data from legacy systems to new solutions
- Recommend solutions to improve new and existing database systems
- Educate staff members through training and individual support

**Requirements**:

- MA degree in computer science, computer engineering, or relevant data field
- A minimum of 3 years experience in a similar role
- Hands-on experience with data modelling, data life cycle, and data storage
- Understanding of data needs for business decision makers, analysts, and data scientists
- Excellent organisational and analytical abilities
- Outstanding problem solver
- Good written and verbal communication skills

**What you can expect from Showpad**

We welcome every voice and are committed to building a truly inclusive environment where your differences are not just welcomed, they are celebrated. We're building a best-in-class experience for our employees and are always identifying opportunities to encourage our team to be their authentic selves. Whether that's paid parental leave, paid holidays (including Juneteenth and paid time off to vote), paid time off to volunteer at non-profit organisations, personal development opportunities or professional stretch assignments, you can expect Showpad to support you.

**Showpad's Commitment**

We are committed to creating a diverse and inclusive organisation and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other dimensions of identity.

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