***Hybrid, 3 days onsite, 2 days remote***

***We are unable to sponsor as this is a permanent full-time role***

A prestigious company is looking for a Principal, Data Architecture. This principal will focus on data architecture and design to support all IT departments throughout the company. These responsibilities include design of data lakes, data warehouses, data messaging, data modeling, data science, etc. The company wants someone with 10 years of data architect/engineering/DBA work experience.

Responsibilities:

• Design the data architecture of organization to support data driven vision
• Create design and blueprint of the data capabilities for the organization within the data framework
• Analyze structural requirements for new solutions and applications
• Optimize new and current database systems
• Responsible for requirements-based analysis and selection of data tools
• Responsible for setting up and enforcement of Data Modeling standards
• Responsible for creating logical and conceptual data models
• Ensure that data architecture principles are adhered to across the enterprise
• Assist in building data taxonomy and aligning it with business processes
• Work with Data Governance, IT, and data stewards on design of the strategic solution to data quality issues
• Communicates and validates program architecture with infrastructure, project management and technology services teams.
• Conducts end to end technical plan design.
• Develop enterprise standards to ensure compatibility and integration of platforms in a multi-vendor platform environment.
• Design and develop infrastructure and solution documentation and blueprints.
• Develops specifications for solutions integrations.
• Maintain documentation library on standard procedures and approved solution configurations.

Qualifications:

• 10 years of progressive experience leading to a Senior-level Data Architect, Data Engineer, DBA, consultant, technical lead
• Bachelor s degree or higher in a technical field
• Experience in design of data lake/warehouse solutions, preferably in the cloud
• Experience in schema design for relational and non-relational data and messaging protocols
• Experience in design of data science and data analytics solutions
• Experience with Kafka and Protocol Buffers
• Expertise in both SQL and No SQL databases
• Expertise with BI tools (Tableau, Power BI etc)
• Expertise with federated query tools such as Presto/Trino
• Experience with data lake file formats such as Avro, Parquet, ORC
• Experience in solution integration and operability.
• Experience working with Infrastructure Technologies and Teams.
• Experience using Service-now or similar