Cloud Native Data Strategist

2 days ago


London, Greater London, United Kingdom Hellowork Consultants Full time
Hellowork Consultants is seeking a visionary Cloud Native Data Strategist to lead our data strategy efforts. As a key member of our team, you will design and implement robust data solutions that power our critical business operations, from vehicle performance analytics to supply chain optimization.

Your primary responsibility will be to develop and maintain a comprehensive data architecture, including data models, data flows, and data governance policies. You will also design and implement data integration strategies to consolidate data from various sources, such as vehicle telematics, manufacturing systems, and customer interactions.

The estimated salary for this role is around $160,000 - $220,000 per year, depending on experience.

You will have the opportunity to work with cloud platforms (e.g., AWS, Azure, GCP) to build scalable and cost-effective data solutions. Additionally, you will collaborate with data scientists and analysts to enable advanced analytics and machine learning initiatives.

We are looking for someone with a strong understanding of data architecture principles, data modeling techniques, and data warehousing concepts. Proficiency in SQL, Python, and other relevant programming languages is required.

Key Responsibilities:
  1. Data Architecture: Develop and maintain a comprehensive data architecture, including data models, data flows, and data governance policies.
  2. Data Integration: Design and implement data integration strategies to consolidate data from various sources.
  3. Data Warehousing and Data Lakes: Architect and manage data warehouses and data lakes to store and process large volumes of structured and unstructured data.
  4. Data Governance: Establish and enforce data governance policies to ensure data quality, security, and compliance with industry standards.
  5. Data Analytics: Collaborate with data scientists and analysts to enable advanced analytics and machine learning initiatives.
  6. Cloud Technologies: Leverage cloud platforms to build scalable and cost-effective data solutions.
  7. Data Security and Privacy: Implement robust security measures to protect sensitive data and comply with relevant regulations.
  8. Data Visualization: Work with data visualization tools to create insightful dashboards and reports for business stakeholders.
  9. 360 Degree Customer Data Model: Ability to map CX journey with the data touchpoints and create a comprehensive data model.
  10. Data Monetization: Experience or ability to help clients monetize data and understand user behavioral patterns.


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