Data Engineering Lead (Data Sharing)

• Receives requirements for Data Products and/or Solutions and
  is responsible for
  conducting Understanding sessions to
  identify
  the list of ingestions and/or processes necessary to add value to the business where they are assigned.
   
   

• Includes all involved areas in the Understanding stage to
  determine
  if the necessary inputs are available to address the requested requirements and to
  identify
  the viability of the Data Solution, as well as defining scoped scope to avoid rework due to incomplete definitions.
   
   

• Supports data engineers in reviewing estimates based on their expert judgment considering timelines from all involved areas (architecture, security, SRE, data governance, etc.), including deployment, and ensures that deliveries are of quality, on time, and in form, avoiding rework.
   
   

• Actively contributes to planning
  backlog
  tasks when a data project, product, and/or solution is authorized.
   
   

• Provides a sprint status report of the project and/or data solution to the business where they are assigned and ensures that deliveries are on time, in form,
  and with
  quality.
   
   

• Warns and informs the business of risks
  in a timely manner
  to mitigate them or propose contingencies.
   
   

• Reviews the efforts of the data engineers under their charge and provides guidance in case the development does not meet standards, guidelines, or best practices.
   
   

• Conducts
  rituals and weekly 1-to-1 follow-ups with the data engineers under their charge to
  assist
  them in case of doubts, to
  identify
  needs in meeting their performance, and to motivate adherence to best practices and compliance with guidelines.
   
   

• Diligently and proactively contributes to all phases of the data engineering lifecycle with Agile
  methodology
  , avoiding reworks and delivering on time, in form, and with quality.
   
   

• Analyzes and proposes technical solutions for data storage using best practices, standards, and data governance guidelines, data privacy strategies, security, and compliance.
   
   

• Ensures the continuity of digital data solutions, insights, dashboards, etc., to build and
  consolidate
  a Data-Driven culture.
   
   

• Collaborates and contributes to the development of monitoring processes and data quality metrics to ensure that the data used by the business is reliable, intact, and complete.
   
   

• Promote an autonomous work culture by encouraging self-management, accountability, and proactive problem-solving among team members.
   

• Serve as a Spin Culture Ambassador to foster and
  maintain
  a positive, inclusive, and dynamic work environment that aligns with the company's values and culture.
   

Required Knowledge

Spin está comprometida con un lugar de trabajo diverso e inclusivo. Somos un empleador que ofrece igualdad de oportunidades y no discrimina por motivos de raza, origen nacional, género, identidad de género, orientación sexual, discapacidad, edad u otra condición legalmente protegida. Si desea solicitar una adaptación, notifique a su Reclutador.