What are the responsibilities and job description for the Data Architect position at Infinity Marketing?
Description
As a Data Architect, you will lead technical problem-solving efforts to provide efficient, secure, and scalable analytics solutions.
- Work collaboratively with internal team members and clients to understand their business challenges, define requirements, and present options and technical recommendations.
- Partner with other analytics team members and our technical partners to understand and optimize existing technical infrastructure.
- Assist with design efforts and recommendations for future state technical environment, infrastructure, and tools.
- Establish procedures for data sharing with internal and external stakeholders, as well as ensure the data strategy supports and aligns with the organization's needs in operational efficiency and scalability.
- Develop data strategy and governance practices to ensure data accuracy and security, including compliance where required.
Requirements
- Experience working with businesses and/or clients to develop a list of requirements, goals, and outcomes
- Experience working with technical teams to plan out the options and recommended solutions
- Experience in simplifying and communicating complex technical information to businesses and/or clients
- Experience with Tableau dashboard development, support, Tableau server, and cloud
- Data Science language -R/Python preferred
- Data Integration – experience developing and supporting efficient data pipelines
- Automation - experience using automation tools to develop more efficient business and technical data processes
- Cloud data infrastructure – experience working in a mature cloud data environment (AWS, GCP, Azure). This includes setting up databases, data lakes, dev-test-production environments, data pipelines, data warehouses, and master data management.
- Experience with SQL
- Prior experience or working knowledge with marketing-specific integration platforms such as ChannelMix or Adverity is a plus
- Familiarity with other business intelligence tools, notably Power BI and the Power Platform preferred
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