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DataArt

Open 107d

Senior Data Architect with Experience in Finance

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Summary

Design and oversee data architecture for financial-sector projects, ensuring scalable, secure, and compliant systems while collaborating with global teams.

Operating remotely and in person in numerous R&D centers, Center of Competence drives innovations in data & big data that ensure rapid expansion of our domain and technical expertise and greater customer satisfaction. Our progressive and flexible working principles pave the way to a rewarding work environment and open vast career opportunities. Industry experience is preferably in Finance, such as asset management, insurance, or capital markets.

A principal role that is responsible for the solution architectures focused on the Data context. Specific attention is paid to the following areas: DG and DM, data structures, modeling aspects, data security practices, architectural practices, integration patterns, non-functional requirements in the data context.

  • Drive direct communications with business stakeholders
  • Elaborate on all technical aspects for the development team, justify any architectural decision
  • Lead implementation of the solutions from establishing project requirements and goals to solution "go-live"
  • Guide clients through complex data transformation initiatives and ensure successful outcomes
  • Participate in the entire cycle of sales\pre-sales activities
  • Lead solution architecture evaluation and assessment activities
  • 5+ years of work experience in a data architect/engineering role or 5-10 completed projects
  • Data Governance, Data Management background
  • Experience working with Clouds (Azure, AWS, GCP)
  • DWH/Data Platforms experience (Snowflake, Databricks)
  • Knowledge of SQL and comfortable designing, writing and maintaining complex SQL queries
  • Experience in finance
  • Experience building data pipelines; ETL design, implementation, and maintenance
  • Knowledge of data management fundamentals (data modeling, data quality, metadata management, data warehouse/lakes patterns, distributed systems)
  • Excellent communication skills
  • Sales/pre-sales experience
  • Foundational knowledge on what sales engineering/consulting/pre-sales engineering roles are
  • How D&A Competence sells and what is important in different types of sales
  • Main types of value proposition in D&A sales

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