ClifyX group is an award winning IT Consultancy formed in 1998. Our Mission is to provide our clients with Optimal Technology solutions that are effective and within budgets. We specialize in helping Organizations to review their strategic SOW Projects/Talent needs and implement high value and cost effective solutions to increase profitability and efficiency. Our consulting capabilities include expertise in Cloud, Artificial Intelligence, Data Analytics and compliance aspects of Cyber Security development.
Work With Us : What makes working at ClifyX so great? We give tons of flexibilty, listen to you, give opportunity to work in different technologies, give feedback on your profile and present you to global fortune companies.
Interact & Influence business stakeholders to secure strong engagement and ensures that the data & analytical product delivery aligns with longer-term strategic roadmaps
Design & contribute towards the structure and layout of lake house architecture optimizing data storage, and establishing data access controls and security measures
Implement the long-term Data & Analytics strategy and deliver functional objectives
Assess requirement feasibility, translates high-level business requirements into data requirements, appropriate metadata, test data, and data quality standards
Explore Data Sources by working with Application owners to confirm datasets to be extracted
Contribute to establishing and implementing database structure, including schema design, table definitions, column specifications, and naming conventions
Design Data models for Source data products, Master data products & Insight data products.
Document Data Architecture artifacts for different Data Products and solutions and perform peer review across various functions.
Support Data Engineering and BI Engineering teams during the build phase
Review Data models development, validate and provide deployment approval
Work closely with data stewards and governance functions to continuously improve data quality and enhance the reliability of data model(s).
Simplify the existing data architecture, delivering reusable services and cost-saving opportunities in line with the policies and standards of the company
Leads and participates in the peer review and quality assurance of project architectural artifacts across the Data Architecture group through governance forums
Collaborate and contribute to the development and enhancement of standards, guidelines, and best practices within Data Architecture discipline.
Works with Product owners, Business stewards, Data Scientists and end users to understand data consumers needs and develop data products/ data solutions
Evaluates and recommends emerging technologies for data management, storage, and analytics
Minimum Years of Experience: 10+ years
Nice To Have Skills:
SQL
Kafka
PBI
Must Have Skills:
Snowflake
Azure
Google Cloud Platform
Python
We are an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristic protected by law.