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Senior Solution Architect @

3 weeks ago

Kraków, Lesser Poland, Czech Republic Mindbox S.A. Full time
  • Accountable for ensuring the products & services are supported by the right architectures, solutions and data models that meet customer needs
  • Accountable for ensuring the design of the product solutions and data models are cost effective and maintained through the agile development lifecycle, managing the flow of the backlog of design activities
  • Working with DevOps Engineers to ensure operational issues (data/solution enhancement, performance, operator intervention, alerting, design defect related issues, etc) are resolved and that any design related issues are addressed in a timely manner
  • Convert requirements into actionable product/service requirements that feed technology solutions and data modelling development & influence service direction
  • Accountable for ensuring solutions are aligned with the platform data and solution architecture and roadmap, group standards and policies and the overall enterprise architecture for their function
  • Work with Architects and DevOps to design and manage best practice on data and solution architecture with clear documentations
  • Participate in team-wide data and architecture governance activities to review solutions and data models design, manage documentations and artifacts, and review use case implementations to ensure delivery in alignment to solution design and best practices
  • Define and communicate commercially aware architecture designs for data solutions in accordance to design authority governance
  • Create clear architecture solution choices, to provide analysis on benefits/challenges
  • Provide governance on architecture. Design, implement standards and target operating models for IT activities
  • Development and support of Integration standards, patterns, strategies, roadmaps and architectures

Creating an inspiring place to thrive for the talented, we use their expertise and courage to introduce the technology of the future into your business. - This is the foundation of Mindbox and the goal of our business and technology journey. We operate and develop in four areas:

 Autonomous Enterprise - automation of business processes using RPA, OCR, and AI.

Business Managment Systems ERP - we implement, adapt, optimize, and maintain flexible, safe, and open ERP of production and distribution companies worldwide.

Talent Network - we provide access to the best specialists.

 Modern Architecture - we build integrated, sustainable, and open CI / CD environments based on containers enabling safe and more frequent delivery of proven changes in the application code.

We treat technology as a tool to achieve a goal. Thanks to our consultants' reliability and proactive approach, initial projects usually become long-term cooperation. For over 16 years, it has provided various services to support clients in digital transformation.

#LI-Hybrid - 1 day/month in the office in Cracow

,[University graduate of Computer Science/IT-related field, preferably with major in Software/System engineering or relevant working experience in the field, At least 8 years' data engineering / architecture; and 5 years' data modelling, Strong banking industry knowledge, Strong knowledge on data architecture, including data modeling (conceptual / logical / physical data modeling), transactional database solution designing vs analytical database solution designing, ETLs, data-related non-functional requirement design (e.g. backup, archiving, performance etc), Strong stakeholder management skills to explain technical concepts to numerous business and technical stakeholders in English, Strong analytical skills to assess design effectiveness and limitations and assist design decisions based on facts and business values, Data warehousing experience – Kimball, Inmon approaches for data modeling, Good technical background related to Big Data technologies & open source stack in Big data space:, o Experience with Python/Scala and Spark, o Understanding of HDP ecosystem, HDFS file formats – Avro, Parquet, ORC, Json, o SQL queries optimization on top of Hive (Tez, SparkSQL, MapReduce), Knowledge of public cloud platforms – Google, AWS, Azure:, o Data processing, Devops experience & experience of data modeling (relational, dimensional), Good technical background related to Data warehousing in one or more such technologies: Oracle, Teradata, DB2, Metadata management techniques experience, Experience with BI Tools (Tableau, QlikView, QlikSense), Knowledge of usage Design Tools (EA, Archimate, UML, IDA), Knowledge of SDLC/Agile methods, Strong interpersonal, communication and presentation with good command of written and spoken English] Requirements: Python, Spark, AWS, Azure, HDP, Oracle, Tableau, GCP Tools: GIT, Agile, Scrum. Additionally: Sport subscription, Private healthcare, Life insurance, Free parking, Free coffee.