Principal, Data Architecture
Dallas, TX, United States
*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 modelling, 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
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