Job Overview
Are you passionate about solving complex data challenges and working with high-impact projects that leverage cutting-edge technologies?
As a Data Architect at our organization, you will play a pivotal role in designing and managing our data infrastructure. You will work closely with various departments to understand their data needs and develop solutions that ensure data integrity, security, and accessibility.
- Key Responsibilities :
- Design and manage data systems : Ensure data security and compliance.
- Create blueprints for data infrastructure and standards.
- Analyze requirements : Analyze structural requirements for new software and applications.
- Data migration : Migrate data from legacy systems to new solutions.
- Modeling data : Design conceptual and logical data models and flowcharts.
- Performance optimization : Improve system performance by conducting tests, troubleshooting, and integrating new elements.
- Cost-effective solutions : Identify and implement cost-effective strategies to fulfill the platform's objectives without compromising on quality and efficiency.
- Security and backup : Define security and backup procedures to protect data.
- Collaboration : Coordinate with the AI & Data business insights teams composed of Data Products, Data Pipeline, AI / Gen AI, Data Governance teams to identify future needs and requirements.
Qualifications
Essential Skills :
Data modeling : Ability to design conceptual, logical, and physical data models.Big data technologies : Knowledge of big data technologies like Snow Flake, Data Bricks, Spark, Foundry, and NoSQL databases.Data warehousing : Understanding of data warehousing solutions and architecture.Cloud-based solutions : 3+ years of experience with cloud-based solutions (AWS or Microsoft), system, network, and operating system experience.Analytical skills : Strong analytical and problem-solving skills.ETL processes : Experience with Extract, Transform, Load (ETL) processes and tools.Excellent communication and collaboration skills.Bonus Points :
Leadership skills : Experience leading teams and driving innovation in data platforms.Technical expertise : Proficiency in programming languages like Python, Java, and SQL.Business acumen : Understanding of business operations and ability to translate technical concepts into business value.