Data Architect
Role details
Job location
Tech stack
Job description
An organization is seeking a skilled Data Architect to lead the design and evolution of its modern data ecosystem. This role is critical in shaping scalable data strategies, optimizing cloud-based architectures, and enabling advanced analytics. Candidates with strong hands-on experience across cloud platforms and data tooling will be prioritized for immediate consideration., In this role, you will serve as a technical leader responsible for architecting and optimizing a robust, cloud-based data environment. You will partner with cross-functional teams to translate business requirements into scalable data solutions, ensuring reliable data access for analytics and reporting. Success in this role requires a balance of hands-on development, strategic thinking, and collaboration with stakeholders across engineering and business teams. Key Responsibilities
- Design and implement scalable data warehouse architectures to support Business Intelligence and analytics needs
- Develop and optimize data models using modern transformation frameworks to improve performance and usability
- Build and manage automated data pipelines to ensure consistent and reliable data ingestion from multiple sources
- Leverage cloud-based tools to perform data integration, transformation, and cataloging activities
- Collaborate with data engineers, analysts, and business stakeholders to define and deliver data solutions
- Establish and enforce data governance policies, including data quality, security, and compliance standards
- Monitor system health and performance, identifying opportunities for optimization and cost efficiency
- Support advanced analytics and machine learning initiatives through data preparation and infrastructure design
- Perform data migration and integration tasks across various database platforms as needed
- Stay informed on emerging trends and best practices in cloud data architecture and analytics technologies
Must have strong Data Lake, Snowflake Administration and ability to populate the Data Lake.
Requirements
- 5-6 years of experience in data architecture, data engineering, or analytics roles
- Strong expertise in cloud data platforms, particularly AWS-based services
- Proven experience designing and managing data warehouses using Snowflake
- Hands-on experience with DBT for data modeling and transformation workflows
- Proficiency in SQL and experience with complex data modeling techniques
- Experience building and maintaining ETL/ELT pipelines and data integration processes
- Strong programming skills in Python for automation, scripting, or analytics
- Familiarity with data governance, data quality standards, and regulatory compliance frameworks