Position: Sr.Data Architect
Company: BrickRed System
Category: Data Engineer
Experience required: 2y
English level: intermediate

Responsibilities:
 Provide Technical Leadership for strategy, architecture, design, development, testing,
production launch, and ongoing support of Global Data Warehousing, Operational, and
Reporting applications in accordance with developed short- and long-term strategic business
goals. Develop and support Global DWH metrics required by the client’s Program SOW’s.
 Provide architectural leadership for technology solutions, data architectures, data warehouse,
cloud, and infrastructure initiatives
 Design and develop high volume data ingestion components and ETL solutions to collect data
from various internal and external sources
 Recommend data governance processes, security standards, and models that will provide
architectural guidelines to support the development initiatives
 Participate in strategic and tactical planning and design sessions and conduct “whiteboard”
sessions with product management, BI, data engineering, architects, operations, and
development team
 Ensures data quality and controls are in place to support various data ingestion inflows and
outflows processes
 Manage and use tools in the cloud data warehouse development and deployment such as ETL
tools, data quality, and cleansing tools, query/reporting tools, OLAP, data mining, etc.
 Administer the overall data warehouse strategy, architectures and security, definition of data
models, all data marts, evaluation of infrastructure components, software, performance, and
data applications design
 Drive decision-making processes to align with business priorities and objectives related to key
architecture solutions
 Responsible for developing/implementing cloud infrastructure to support current and future
business needs
 Develops the strategy and approves the systems architecture for Database and application
Servers, daily Database backup &amp; recovery, and Disaster Recovery plans.
 Extract, Transform and Load (ETL) functions from a variety of operational systems
 Developing and maintenance of Multi-Dimensional Data Cubes loaded from the Data
Warehouse
 Assessing the performance and capacity requirements of the data warehouse
 Assessing and ensuring all operational aspects of the data warehouse, including availability, data
integrity, data feeds, etc.

 Provide Technical Leadership for strategy, architecture, design, development, testing,
production launch, and ongoing support of HR, Finance, and Operations Global Percepta
Business applications.
 Design, develop, manage, and maintain application development standards that meet or exceed
industry standards and/or client-identified application development requirements. Institute and
manage an effective application development Systems Lifecycle methodology.
 Make key technology decisions related to Global DWH and Enterprise Systems applications.
 Verifying that the architecture and implementation meet all user requirements.
 Mentor and assist in the technical development of other technical staff.
Experience:
 10+ years of experience in Technical Leadership directing the Global Data Architecture including
Strategy, Design, Development, Testing, and Support.
 10+ years of experience in software development and software support.
 10+ years of experience developing Global DWH software including ETL, Logical &amp; Physical data
modeling, SQL &amp; Data Access Optimization, and Reporting and Analytics experience. Data
staging areas, Cleansing and transformation mechanisms, Star/Snowflake schemas, Business
Intelligence delivery mechanisms.
 10+ years of experience with DWH Performance monitoring and implementing performance
improvements.
 Experience with customer contact centers and/or customer contact center technology
preferred.
 System architecture (understanding of Unix/AIX, MS SQL Server, and NT systems as relates to
Data Warehouse infrastructure)
Skills:
 Significant experience with Cloud Data Warehouse technologies and complex data architecture
and models
 Working knowledge of designing architectures for large volume real-time data streams and
component services
 Knowledge of and experience with Big Data technologies, Amazon Web Services (AWS), Amazon
Redshift, Microsoft Azure, etc
 A proven track record for the successful delivery of cloud data warehouse solutions and related
components
 Must be a tenacious problem-solver able to make routine decisions as well as after-hours
support requirements.
 Good understanding of fault-tolerant architectures and high availability
 Good communications and listening skills are critical components of this job. Must be able to
interact with development and infrastructure teams, business, and vendors including the
training and mentoring of team members.
 Strong Global Data Warehousing Technical strategy, architecture, design, development, and
production support skills
 Strong Global Application Technical strategy, architecture, design, development, and production
support skills
 Strong systems development life cycle methodology knowledge
 Strong problem resolution skills

 Customer interface experience, including all levels of management with proven ability to build
and maintain influential relationships.