Team.Inno / Фабрика инноваций и решений
Data Architect
- Big Data
- Английский — B2 — Средне-продвинутый
- Немецкий — B2 — Средне-продвинутый
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:
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Proven experience acting as Solution / Data Architect in enterprise environments.
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Ability to take full ownership of architectural decisions.
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5+ years overall experience in Data Engineering / Data Platforms.
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3+ years hands-on architecture experience with Azure Databricks.
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Deep hands-on expertise in Databricks (cluster strategy, performance optimization, Delta Lake design), Spark internals & performance tuning, Data Lake architecture (Bronze/Silver/Gold patterns).
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Proven experience designing and delivering enterprise-scale data platforms in Azure.
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Experience in legacy system modernization, migration or transformation programs.
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Experience working in the banking sector, with a focus on credit scoring.
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Understanding of regulatory and compliance constraints (e.g., data governance, auditability, security).
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Strong German language skills (B2+ minimum, C1 preferred).
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English proficiency: B2 (Upper-Intermediate) or higher.
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Experience in direct client-facing roles (workshops, architecture discussions, stakeholder alignment).
Nice to Have:
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Experience in Credit Bureau environments.
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Availability for business travel to client locations in Germany.
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Hands-on experience with Credit Scoring / Credit Scoring Services.
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Experience working with SAS (migration or integration).
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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.