Position: Data Architect
Company: Jabil
Category: Lead
Experience required: 5y
English level: upper
Published: 2021-02-01T00:00:00+02:00

Responsibilities:

• 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

Will be a plus: 
• 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

What we’re looking for in a candidate:

• 8+ years of experience with ETL and/or Datawarehousing; 2+ years of experience using cloud technologies
• 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
• Advanced understanding of Calculated Measures, KPIs, statistics and mathematics
• Advanced knowledge of MDX, DAX, SQL; Multidimensional and Tabular modeling and development
• Passion to learn, self-motivate, and drive execution in an entrepreneurial setting; resourcefulness, demonstrated problem-solving aptitude and critical thinking; excellent communication skills
• Dynamic and creative skillset to be able to identify novel solutions to unfamiliar problems