What are the responsibilities and job description for the Data and Analytics Solutions Architect Lead position at SITA Switzerland Sarl?
Job Overview
SITA Switzerland Sarl is a leading organization in the industry, seeking an experienced Data and Analytics Solutions Architect to join our team. In this role, you will be responsible for designing, developing, and implementing scalable and robust data and analytics architecture solutions to meet the evolving needs of our organization.
About the Role
As a Data and Analytics Solutions Architect, you will collaborate with cross-functional teams to understand business requirements and translate them into technical solutions that drive business value. You will analyze client requirements, devise tailored solutions aligned with business objectives and technical requirements, and implement data-driven solutions.
Key Responsibilities
- Analyze client requirements and develop innovative solutions aligned with business objectives and technical requirements.
- Collaborate with teams to define data requirements and implement data integration, data warehousing, and data modeling solutions for analytics and reporting.
- Design and execute solution roadmaps aligned with business strategies, leveraging existing components judiciously.
- Proactively assess and mitigate potential risks associated with data governance policies.
- Provide technical leadership and guidance throughout project lifecycles.
- Stay abreast of industry trends in data management and analytics.
Requirements
- 4-5 years of experience in IT environment, with expertise in analytics, data modeling, ETL processes, and cloud platforms.
- Proficiency in Agile methodologies.
- Degree in technical discipline or equivalent work experience.
- Proven experience in data architecture or engineering roles.
Knowledge & Skills
- Deep understanding of data architecture principles, methodologies, and best practices.
- Experience with data integration tools, databases, data platforms, and big data technologies.
- Strong proficiency in data modeling techniques.
Benefits
- Flex-week: Work from home up to 2 days/week (depending on your Team's needs).
- Flex-day: Flexibility to choose your arrival time at the office or leave earlier to attend personal commitments.
- Flex-location: Benefit for 30 working days from anywhere around the world each year.
- Competitive benefits according to the local market.
