Architect 4

Develop and maintain the data architecture for the CDP, including data models, data dictionaries, and data integration specifications.
Collaborate with cross-functional teams to understand business requirements and translate them into data architecture solutions.
Design and implement data pipelines to ingest, process, and transform data from various sources into the CDP.
Define and implement data governance policies and procedures to ensure data quality, privacy, and security.
Work closely with data engineers, developers, and other stakeholders to ensure the successful implementation of the data architecture.
Working closely with Sky IT & business team to validate the data model/ patterns and approval on new data models.
Designing and creating high- and low-level design documents, reviewing those with the data owners and getting sign offs on the design.
Stay updated with the latest data architecture trends and technologies and apply them to improve the efficiency and effectiveness of the data architecture for the CDP

Relevant Experience
At least 5 years of experience in data architecture, with a focus on designing and implementing data solutions for complex projects.
Strong understanding of data modeling, data integration, and data governance principles.
Strong understanding of first party data compliances (i.e., PII, PHI, GDPR, CCPA).
Experience with database technologies such as SQL, NoSQL, and data warehousing solutions.
Familiarity with cloud-based data platforms such as Google Cloud Platform (GCP), AWS, or Azure.
Good to have experience working on CDP projects or projects involving large-scale data processing and analytics.
Good to have experience with data visualization tools such as Looker/ Tableau/ Power BI
Experience working in a DevOps framework
Employees at all levels are expected to:

Technical Skills Proficiency in creating and maintaining data models to represent data requirements and relationships.
Knowledge of various database technologies such as SQL, NoSQL, and data warehousing solutions.
Experience with integrating data from different sources and formats into a unified data architecture.
Understanding of data governance principles and practices to ensure data quality, privacy, and security.
Knowledge of ETL processes and tools to extract data from source systems, transform it, and load it into the target system.
Familiarity with big data technologies such as Hadoop, Spark, and Kafka for processing and analyzing large volumes of data.
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP) for deploying and managing data architecture solutions

Understand our Operating Principles; make them the guidelines for how you do your job.
Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
Win as a team - make big things happen by working together and being open to new ideas.
Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
Drive results and growth.
Respect and promote inclusion & diversity.
Do whats right for each other, our customers, investors and our communities.

Disclaimer:

This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.

Skills

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Education

Certifications (if applicable)

Relative Work Experience