Full-Time

Data Warehouse Architect

Arete Technologies

Arete Technologies

No salary listed

East Lansing, MI, USA

In Person

Category
Data & Analytics (2)
,
Required Skills
Bash
SQL
RDBMS
ETL
Linux/Unix
Requirements
  • Five or more years of Teradata physical modeling and indexing techniques.
  • Teradata physical modeling and indexing.
  • Teradata ETL development.
  • UNIX / Linux shell scripting.
  • Unix / Linux operating system.
  • Teradata SQL.
  • Teradata security.
  • ETL tools - Datastage.
  • BI inquiry tools including Business Objects, BI-Query.
Responsibilities
  • Designs, implements and supports data warehousing.
  • Implements business rules via stored procedures, middleware, or other technologies.
  • Defines user interfaces and functional specifications.
  • Responsible for verifying accuracy of data, and the maintenance and support of the data warehouse.
  • Knowledge of data warehouse end-to-end implementation processes, from business requirement logical modeling, physical database design, ETL, end-user tools, database, SQL, performance tuning.
  • Demonstrated problem resolution skills with team of persons, and strong leadership with implementation team.
  • Experience in data warehouse design and data modeling (both relational and dimensional) and development and maintenance of multi-dimensional data models.
  • Development experience in implementation of data warehousing utilizing RDBMS.
  • Understanding of data warehouse Metadata concepts, tools and different data warehouse methodologies.
  • Expertise in SQL and proficiency in database tuning techniques.
  • Responsible for the ongoing architecture and design of the data warehouse, data mart, and reporting environments.
  • Develop strategies for flexibility and scalability, and define the future technical architecture direction for the business intelligence reporting physical environment.
  • Responsible for proper selection of appropriate hardware, software, tools and system lifecycle techniques for the different components of the end-to-end data warehouse architecture including ETL, metadata, data profiling software, database platform, performance monitoring, reporting and analytic tools.
  • Defining and documenting the technical architecture of the data warehouse, including the physical components and their functionality.
  • Setting or enforcing standards and overall architecture for data warehouse systems.
  • Monitoring the data warehousing industry and assisting in establishing the organization's data warehousing strategy and section of strategic warehousing tools and techniques.
  • Ensuring compatibility of the different components of the DW architecture and ensuring alignment with broader IT strategies and goals.
  • Ability to educate the project teams on the standards and architecture of each component of the data warehouse architecture.
  • Very strong written and oral communication skills, including some presentation skills.

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