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Chief Data Visionary
hace 2 meses
**Job Summary**: We are seeking an exceptional Chief Data Visionary to join our dynamic Data Capabilities Team at Nestlé Sa. This pivotal role involves crafting and overseeing the data architecture of our organization, ensuring that data is structured, available, safeguarded, and aligned with business goals.
**Key Responsibilities**:
* Develop and execute strategic plans to enhance data integration, quality, and delivery in alignment with business initiatives and roadmaps.
* Architect the structure and arrangement of data systems, including databases, warehouses, and Datalakes.
* Choose and deploy database management systems tailored to organizational requirements, including defining data schemas, optimizing storage, and implementing robust access controls and security measures.
* Establish and execute the long-term technology strategy and innovation roadmaps across Analytics, data engineering, and data platforms.
* Design and deploy efficient processes for Extract, Transform, Load (ETL) operations from diverse sources into our data systems.
* Transform high-level business requirements into comprehensive data models, metadata, test data, and data quality standards.
* Engage with senior business stakeholders to ensure strong alignment and project delivery in line with strategic roadmaps.
* Streamline existing data architecture, delivering reusable services and identifying cost-saving opportunities while adhering to company policies and standards.
**Requirements**:
* A bachelor's degree in computer science, data science, software engineering, information systems, or a related quantitative field; a master's degree is preferred.
* At least ten years of experience in data Analytics, data engineering, software engineering, and 3-4 years of experience in Data Architecture.
* Expertise in data modeling, ETL development, and data analysis.
* Proficient in programming languages such as SQL, Python, R.
* Knowledge in data science languages/tools like SQL, R, SAS, DBT, Knime, Power BI or Excel.
* Skilled in designing and implementing modern data architectures and concepts, including cloud services (AWS, Azure, GCP), real-time data distribution (Kafka, Dataflow), and modern data warehouse tools (Snowflake, Databricks).
* Familiarity with entity-relationship modeling, metadata systems, and data quality tools and techniques.
* Capable of strategic thinking and aligning architectural decisions with business needs and client culture.
**Compensation Package**: The estimated salary for this position is approximately $140,000 - $160,000 per year, depending on location and experience. We offer a competitive benefits package, including health insurance, retirement savings plan, paid time off, and opportunities for professional growth and development.
We are looking for a talented and motivated individual who can drive innovation and excellence in our data architecture team. If you have a passion for data-driven insights and a proven track record of success in data architecture, we encourage you to apply for this exciting opportunity.
