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Sr. IT Architect - ETL & Data Warehousing

Req ID: J2253790

  • Ubicación
    Remoto - Ucrania, Kiev (provincia), Ukraine
  • Categoría Servicios Administrativos
  • Publicado miércoles, 11 de noviembre de 2020
  • Tipo Tiempo completo

Descripción del Trabajo


The Senior IT Architect for Jabil’s Data Warehousing in the Analytics & Intelligence space is responsible for leading the design of data solutions and guiding technical leads to execute on those designs. Works with tech leads, devs, BAs, other architects, management, and product owners to design and maintain new and existing solutions for our executive-facing global Unified Metrics platform as we move toward predictive analytics with machine learning.


  • Maintain a deep and broad understanding of the technology stack being used by your organization as the lead technical resource for the design development, and maintenance of the program’s software systems

  • Provide technology direction, technical leadership, and mentoring to tech lead and development resources

  • Ensure development work product compliance to approved architecture, design patterns, security practices, and other relevant standards

  • Manage and support the operation of the SDLC spanning research, requirements analysis, prototyping, design, programming, reviews, documentation, and testing

  • Lead the technical delivery of effective, high standard software development and support services

  • Assist in coordinating the activities of development resources across various initiatives to meet business objectives and delivery timeline and cost expectations

  • Implement proactive processes or monitoring to identify/resolve incidents and defects

  • Perform research, feasibility analysis, and purpose changes to improve technology assets and/or mature processes in alignment with industry standards or best practices

  • Partner with Program Leadership to plan and execute project(s), ensure the team has appropriate skills, capacity, and direction to effectively deliver

  • Provide realistic estimates, timelines, and work break-down structure for input to work plans

  • Provide oversight and review of technical deliverables such as specifications, designs, and project plans

  • Drive Major Incident Management response and communication and assist developers in resolving technical issues/incidents

  • Provide specification or sizing input for infrastructure needs

  • Lead production turnover planning, change approval, and deployment process

What we’re looking for in a candidate:

  • Bachelor's degree in Computer Science, Information Technology, or equivalent experience (Master’s preferred)

  • 10+ years of experience developing web technologies; 3+ years of experience using cloud technologies

  • Software configuration management experience (Gitlab, SVN etc.)

  • Passion to learn, self-motivate, and drive execution in an entrepreneurial setting; resourcefulness, demonstrated problem-solving aptitude and critical thinking; excellent communication skills

  • Strong database experience; in-depth knowledge of SQL (beneficial to know Graph, NoSQL, Key Value, etc.)

  • Practical knowledge of ETL processing with demonstratable skills; advanced knowledge of data preparation for consumption, exposure of analytics, analytical platforms, & OLTP Database design (relational transactional DBs)

  • Advanced knowledge and practical experience of OLAP Database (Data Warehouse) design (snowflake or star schema – typically column indexed – database design)

  • Ability to conceive and design analytical schemas to capture base statistical pre-aggregated data

  • Advanced skills in the design and implementation of ETL procedures and packages to efficiently extract data from parent systems without impacting production.

  • Debug and analysis skills to diagnose issues with pipelines efficiently and identify missing data

  • Advanced understanding of Calculated Measures, KPIs, statistics and mathematics.

  • Dynamic and creative skillset to be able to identify novel solutions to unfamiliar problems

  • Advanced knowledge of MDX, DAX, SQL; Multidimensional and Tabular modeling and development

  • Theoretical understanding of Machine Learning and Artificial Intelligence principles is an advantage

  • Hands-on experience implementing ML / AI concepts in an enterprise environment is a bigger advantage

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