Responsibilities: Interact and influence business stakeholders to ensure data and analytical product delivery aligns with strategic roadmaps. Design and contribute...
Responsibilities:
Interact and influence business stakeholders to ensure data and analytical product delivery aligns with strategic roadmaps.
Design and contribute to the structure and layout of lake house architecture, optimizing data storage and establishing access controls and security measures.
Implement long-term Data & Analytics strategy and deliver functional objectives.
Translate business requirements into data requirements, metadata, test data, and data quality standards.
Work with application owners to identify datasets to be extracted and design data models for various data products.
Document data architecture artifacts and perform peer reviews across functions.
Support Data Engineering and BI Engineering teams during the build phase and validate deployment approvals.
Collaborate with governance and data stewardship functions to improve data quality and model reliability.
Contribute to developing standards, guidelines, and best practices within the Data Architecture discipline.
Work with product owners, data scientists, and end users to develop data products and data solutions.
Evaluate and recommend emerging technologies for data management, storage, and analytics.
Must Have Skills: Snowflake, Azure, GCP, Python
Nice to Have Skills: SQL, Kafka, Power BI
Experience: 10+ years
Certifications: None required
Interview Process: Face-to-face required
Top Responsibilities:
Design and implement data models for enterprise data warehouse initiatives.
Translate business requirements and guide solution design architecture for data products.
Develop scalable, high-performance, and reusable data models for multiple initiatives.