Data Warehouse Architect (Hadoop, Erwin, Oracle, Cognos, Tableau, R, Python) in Pittsburgh or Cleveland

Data Warehouse Architect (Hadoop, Erwin, Oracle, Cognos, Tableau, R, Python) in Pittsburgh or Cleveland

Business Objects, Cloudera, Cognos, Data Warehouse Architecture, Hadoop, OBIEE, Python, R, Tableau

Location: Pennsylvania

Job Function: Data Warehouse Architect

Date Of Job Posting: 08-26-2018

Data Warehouse Architect (Hadoop, Erwin, Oracle, Cognos, Tableau, R, Python) in Pittsburgh or Cleveland

Position: Data Warehouse Architect (Hadoop, Erwin, Oracle, Cognos, Tableau, R, Python)

Location: Pittsburgh, PA or Cleveland, OH

Duration: Full-Time Permanent position (no contracts, no corp to corp, no remote)

Salary:Excellent Compensation with benefits + interview travel + Bonus

SKILLS: Data Warehouse Architecture, Hadoop, SQL, Data Architecture, HRM Modeling, Erwin, Oracle, Teradata, Informatica, PeopleSoft, Workday Reporting, OBIEE, Cognos, Business Objects, Tableau, R, Python, Cloudera Distributed Hadoop

DESCRIPTION:

As a Data Warehouse Architect (Hadoop), within our client's Data Management Division, you can be based either in Pittsburgh, PA or Cleveland, OH.

The position will be working and interfacing with the HR Metrics & Analytics team and the Business of IT Metrics team. The purpose of the position is to provide consistent data architecture and modeling for various uses of the data inclusive of standard metrics to be reported and advanced analytics using Big Data Services and capabilities.

Required Education and Experience:

Roles at this level typically require a university / college degree, with 5+ to 7 years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education and experience (including military service) may be considered.

Skills & Technologies:

REQUIRED:

·SQL, Data Architecture and Modeling specifically in HRM

·Erwin, Hadoop, Oracle, Teradata, Informatica, PeopleSoft, Workday

·Reporting software such as OBIEE, Cognos, Business Objects, Tableau

Following skills will be a PLUS:

·R, Python, Cloudera Distributed Hadoop

Job Profile:

·Designs, Develops and Optimizes data warehouses, with flexible and scalable data and ETL architecture, to support business users and Business Intelligence (BI) applications.

·Analyzes business intelligence data and makes recommendations for data warehouse growth and integration an application/business function.

·Works with IT and business customers to capture requirements for designing the data warehouse architecture.

·Provides support and technical guidance to ensure the solutions are aligned with the architecture and framework.

·Leads and consults on the implementation and integration of data warehouses; ensures the solution meets organizational quality and integrity standards.

Leadership Competencies:

Core Competencies:

Manages Risk - Working Experience:

Assesses and effectively manages all of the risks associated with their business objectives and activities to ensure activities are in alignment with the bank's and unit's risk appetite and risk management framework.

Customer Focus - Extensive Experience:

Knowledge of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions, and ability to leverage that information in creating customized customer solutions.

Job Specific Competencies:

Consulting - Working Experience:

Knowledge of techniques, roles, and responsibilities in providing technical or business guidance to clients, both internal and external; ability to apply this knowledge appropriately to diverse situations;

Data Architecture - Working Experience:

Knowledge and ability to create models and standards to govern which data is collected, and how it is stored, arranged, integrated, and put to use in data systems and in organizations.

Database Structures - Extensive Experience:

Knowledge of and the ability to utilize appropriate database structures to organize and store data in a particular manner.

Data Warehousing - Extensive Experience:

Knowledge of how to collect data from different information sources and distribute them to users; ability to use this information to simplify information systems and make sound business decisions.

IT Architecture - Extensive Experience:

Knowledge of and ability to design and improve organizational IT structures and blueprints in order to better support business operations and efficiently achieve organizational objectives.

Logical Data Modeling - Working Experience:

Knowledge of and the ability to identify, create and document activities, tasks, processes and data requirements for a particular system under design.

Organizational Leadership - Working Experience:

Knowledge of and ability to use strategies and skills to enlist others in setting, embracing and achieving objectives.

Problem Solving - Working Experience:

Knowledge of approaches, tools, techniques for recognizing, anticipating, and resolving organizational, operational or process problems; ability to apply this knowledge appropriately to diverse situations.

Requirements Analysis - Working Experience:

Knowledge of methods and techniques to elicit, analyze and record required business functionality and non-functionality requirements; ability to analyze these requirements to ensure the success of a system or software development project.

=========================================