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Principal Data Architect

Bellevue, WA, USATech Talent Link, Inc


The Enterprise   Data Solutions (EDS) IT team is looking for a Principal Data Architect with   strong background in Data Warehouse and an interest in driving a data driven   culture through an optimized data architecture for delivering insights.    This is a hands-on strategic role where the individual will be responsible in   the overall design of the EDS data ecosystem including Integrated Data   Warehouse (IDW), ODS and Hadoop Data Lake in addition to mentoring data   architects and developing a roadmap of the future state data ecosystem.    A person entering this role requires experience in data modeling, data   architecture for near-real time data ingestion, API design, advanced reusable   data profiling techniques, and design of semantic layer. The EDS team   supports various business areas in achieving results including Internal IT,   Finance, Marketing, Digital, Supply Chain, Care, and Sales.


Responsibilities :


· Work   with IT and business management on architecture and design patterns alignment

· Responsible   for driving design reviews ensuring integration of data across multiple   domains and design of semantic layer for data access

· Architect,   design, and build enterprise class relational and dimensional data models.

· Conduct   industry research & trends for setting the direction of Information   Architecture

· Stay   abreast of information management trends and standards, master data management,   data services, self-service business intelligence, metadata management, data   quality, and data governance.

· Build   & maintain Reference Model Architecture and Standards for communicating   direction of Information Architecture.

· Lead   design and build the data architecture layer to drive solutions that will be   implemented by the development teams.

· Work   with the platform team in optimizing Data Architecture and optimize use of   data assets for Data Science.

· Develop   proof-of-concept and prototypes to help illustrate approaches to technology   and business problems

· Collaborate   with Enterprise Architecture to define service delivery landscape

· Work   with CIS team in delivering an architecture to support encryption and   row-level data security

· Support   the Data Governance and EDS metadata initiative


Qualifications :


· Strong   working knowledge of Teradata, Hive, HBase, and Postgres

· Experience   in data architecture for handling streaming and batch data within a data   warehouse landscape

· Understanding   of Big Data technologies, Hadoop and modern data architectures like Spark and   NoSQL structures 

· Experience   in AWS (S3, Redshift, RDS, etc.) 

· Experience   in distributed data processing framework such as Spark and MapReduce and data   streaming such as Kafka, Spark streaming preferred

· Experience   with API management solution such as Apigee, Mulesoft, AWS API Gateway, etc

· Strong   programming skill with at least one of the following - Python, Java, Scala,   etc. 

· Data   modeling tools (Erwin, Power Designer) and standards.

· Experience   with data profiling tools such as Ataccama, Trifacta, etc preferred

· Experience   with ETL Tools such as Informatica BDM, etc

· Excellent   SQL tuning knowledge and experience with Teradata Query Grid preferred

· Experience   working with vendors to evaluate, select, and implement 3rd party solutions

· Demonstrates   working knowledge of UML documentation of various business process and   modeling to build Data Flow Diagrams, Process Models, ER diagrams,   Dimensional Data Models, and Event modeling

· Excellent   problem solving and analytical skills

· Excellent   written and verbal communication skills with strong relationship building   skills

· Minimum   12 Years BI data architecture experience.

· Minimum   8-9 years professional experience designing BI solutions on RDBMS Teradata   version 14, 15 or 16


· B.S.   Computer Science or Management Information Systems or equivalent experience.

· Certification   in Teradata, AWS or Hadoop preferred

Big data