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Principal, Data Architecture
2 weeks ago
***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:
the data architecture of organization to support data driven vision
design and blueprint of the data capabilities for the organization within the data framework
structural requirements for new solutions and applications
new and current database systems
for requirements-based analysis and selection of data tools
for setting up and enforcement of Data Modeling standards
for creating logical and conceptual data models
that data architecture principles are adhered to across the enterprise
in building data taxonomy and aligning it with business processes
with Data Governance, IT, and data stewards on design of the strategic solution to data quality issues
and validates program architecture with infrastructure, project management and technology services teams.
end to end technical plan design.
enterprise standards to ensure compatibility and integration of platforms in a multi-vendor platform environment.
and develop infrastructure and solution documentation and blueprints.
specifications for solutions integrations.
documentation library on standard procedures and approved solution configurations.
Qualifications:
years of progressive experience leading to a Senior-level Data Architect, Data Engineer, DBA, consultant, technical lead
degree or higher in a technical field
in design of data lake/warehouse solutions, preferably in the cloud
in schema design for relational and non-relational data and messaging protocols
in design of data science and data analytics solutions
with Kafka and Protocol Buffers
in both SQL and No SQL databases
with BI tools (Tableau, Power BI etc)
with federated query tools such as Presto/Trino
with data lake file formats such as Avro, Parquet, ORC
in solution integration and operability.
working with Infrastructure Technologies and Teams.
using Service-now or similar
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