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  • Senior Solution Architect
    New

    Senior Solution Architect

    Kraków
    Type of work
    Full-time
    Experience
    C-level
    Employment Type
    Any
    Operating mode
    Remote

    Tech stack

      Data architecture

      master

      Data Engineering

      master

      Big Data

      master

      Python

      master

      Scala

      master

      Azure

      master

      BI tools

      master

    Job description

    The job will involve most or all of the following activities:

    • 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
    • Accountable for acquiring approvals from technical design and control authorities on solution and data designs
    • 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
    • Work closely with the engineering teams and other stakeholders to meet the projects requirements aligned with Group standards, IT and business strategy
    • Create clear architecture solution choices, to provide analysis on benefits/challenges
    • Identifying operational and delivery risks
    • 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
    • Ensure that architecture results are compliant with the stated requirements, approved technologies, best practices and group strategies



    Requirements:

    • 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
    • Self-motivated to take up new responsibilities, knowledge domain and skills beyond data architecture / data domain
    • Inspire teams to improve designs and practices on a continuous basis
    • Strong interpersonal, communication and presentation with good command of written and spoken English
    • Data warehousing experience – Kimball, Inmon approaches for data modeling
    • Good technical background related to Big Data technologies & open source stack in Big data space:
    • Experience with Python/Scala and Spark
    • Understanding of HDP ecosystem, HDFS file formats – Avro, Parquet, ORC, Json
    • SQL queries optimization on top of Hive (Tez, SparkSQL, MapReduce)
    • Knowledge of public cloud platforms – Google, AWS, Azure:
    • 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
    • Proactive, can-do and open way of work as a must



    We offer:

    • A full-time contract (B2B also possible)
    • Stable and long-term cooperation
    • Well-defined career path at the European leader in engineering & IT consulting
    • Participation in company conferences, trainings, workshops, integration meetings, etc.
    • Certification and training opportunities
    Undisclosed Salary

    Any

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