Data Architect

12 Мая

Партнерские Вакансии

Компания "Innowise Group / Фабрика инноваций и решений"

Team.Inno – one of the most experienced Belarusian companies providing full-circle software development, implementations and supporting, business analysis, design, testing and project management services.

Over 18+ years, we’ve implemented over 1600 projects in different industries for our clients in the USA, Canada, UK, Germany, France, Italy, Japan, and other countries. Our team specializes in 40+ business domains, including Artificial Intelligence, Machine Learning, Augmented & Virtual Reality.

Today, Team.Inno brings together over 3500 employees across its offices in Belarus, Poland, Georgia, Germany and Lithuania. We are constantly looking for both experienced professionals and entry-level specialists, and starting in 2025, we also offer free online courses for everyone who wants to begin a career in IT.

Here you can work on projects of different scales, explore various domains, and choose your own career path. Join us!

Requirements:

• Proven experience acting as Solution / Data Architect in enterprise environments.

• Ability to take full ownership of architectural decisions.

• 5+ years overall experience in Data Engineering / Data Platforms.

• 3+ years hands-on architecture experience with Azure Databricks.

• Deep hands-on expertise in Databricks (cluster strategy, performance optimization, Delta Lake design), Spark internals & performance tuning, Data Lake architecture (Bronze/Silver/Gold patterns).

• Proven experience designing and delivering enterprise-scale data platforms in Azure.

• Experience in legacy system modernization, migration or transformation programs.

• Experience working in the banking sector, with a focus on credit scoring.

• Understanding of regulatory and compliance constraints (e.g., data governance, auditability, security).

• Strong German language skills (B2+ minimum, C1 preferred).

• English proficiency: B2 (Upper-Intermediate) or higher.

• Experience in direct client-facing roles (workshops, architecture discussions, stakeholder alignment).

Nice to Have:

• Experience in Credit Bureau environments.

• Availability for business travel to client locations in Germany.

• Hands-on experience with Credit Scoring / Credit Scoring Services.

• Experience working with SAS (migration or integration).

• Experience in highly regulated financial environments (BaFin context).

Main responsibilities:

• Collaborate with business leaders to translate strategic objectives into actionable data initiatives.
• Evaluate business processes and identify opportunities for data-enabled optimization.
• Design and lead enterprise-scale solutions based on Azure Databricks.
• Architect and implement migration / transformation of legacy data platforms.
• Automate legacy systems and modernize data processing landscapes.
• Facilitate workshops and sessions to align technical solutions with business needs.
• Translate business requirements (e.g., credit risk, scoring, reporting) into scalable data solutions.

We offer:

Learning and Development:

• A wide range of diverse projects in industries such as FinTech, Medicine, Entertainment, eCommerce, Gaming, Artificial Intelligence, and more;
• A broad technology stack with the opportunity to switch between technologies;
• Individual growth plans and regular reviews of conditions (project roles, salary level);
• Preparation for interviews with international clients in English.

Work Environment:

• On-site work format;
• Employment under the Labor Code of the Republic of Bela
• Spacious and comfortable workstations;
• Detailed onboarding: introduction to the team, processes, and policies, office tour, welcome card;
• Cozy kitchens, game rooms, coworking spaces, and lounge areas.

Additional Perks:

• Voluntary health insurance;
• Discounts from partner companies (from pizzerias and bookstores to electronics stores).

If you’re looking for real opportunities to grow professionally and take control of your career — we’ll be happy to welcome you to our friendly team!

The creation of the workplace is planned for the longer term.