The Data Architect - Snowfkale will be leading Design, and Development of modern data pipeline and data warehouses on Cloud environment to Ingest, Transform, Store, and Distribute data for Analytics, Reporting and Operation purpose. The candidate must have deep knowledge on SQL and ETL/ELT tools. Hands on experience with Snowflake will be a huge plus. Other hands-on work experiences required are - AWS or Azure, Python or Scala, DevOps, API, Data Modeling. Experience of working with Data Streaming technology like Kafka, and data analytics tools like Tableau, PowerBI, Qlik, COGNOS etc. will be a plus.
The ideal applicant will have experience in interfacing with clients and implementing holistic cloud-based data solutions. Any prior knowledge on Supply Chain will be a plus.
As a Data Architect, you will be responsible for helping to design, develop, and maintain the company's data architecture and databases.
Key Roles and Responsibilities:
- Assist in designing, developing, and maintaining the company's data architecture, including data models, data dictionaries, and metadata repositories.
- Collaborate with cross-functional teams to gather requirements and design solutions that meet business needs.
- Develop and maintain data integration processes, including ETL (Extract, Transform, Load) workflows and data pipelines.
- Work with the development team to ensure that data-related code is optimized for performance and scalability.
- Provide data governance and quality assurance, ensuring that data is accurate, consistent, and secure.
- Stay up-to-date with industry trends and technologies related to data architecture and data management.
Key Skills Needed:
- Strong understanding of database design and architecture principles, including relational and non-relational databases.
- Experience with ETL processes and data integration technologies, such as SQL, Python, and data integration tools like Informatica, Talend, or similar.
- Knowledge of data modeling tools like ERwin, Visio, or similar.
- Familiarity with data visualization tools like Tableau, Power BI, or similar.
- Ability to collaborate with cross-functional teams and work effectively in a fast-paced environment.
- Excellent problem-solving and analytical skills.
- Strong communication and interpersonal skills.
Education and Experience:
- Bachelor's degree in Computer Science, Information Systems, or a related field.
- 3-7 years of experience in data architecture or a related field.
- Relevant certifications in data management or architecture are a plus.
- Snowflake, Hevo, AWS, GCP and/or Azure experience a plus.