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Data Architect

Location: Allentown, PA
Posted On: 06/27/2019
Requirement Code: 33341
Requirement Detail

Job Title: Data Architect
Location: Allentown, PA 18101
Duration: 6-12 months


Description: Data Architect - 2 open roles

Assist in in defining as is state of PPL Asset data structure

Provide recommendations on data structure and formats for future state of Asset Management strategy

Develop recommendations for future state asset hierarchy

Assist in solution evaluation and provide input on cloud technologies to achieve the desired data analytics objective

Assist in recommending and implementing a data warehousing solution which may be everything from functional databases to cloud data warehouse to a data lake solution.

This role will assist in defining the long term strategy for our Asset Management initiative as well as defining, designing and assist in implementing the solution.

 

Required Skill sets

Ability to understand different types of data and articulate architecture solution and possibilities

Broad understanding of structured, semi structured and unstructured data

Broad understanding of how to leverage multiple data types to create data models that achieve a desired outcome

Detailed understanding of big data analytics

Understanding of Data Lake technology and how to develop / apply analytics models

Broad understanding and ability to design and develop cloud data architecture solutions

 

Additional skill sets that would be great to have

Understanding of how to apply machine learning models to various data sources and data models to predict outcomes

Understanding of how to design, build, train machine learning models

Ability to apply Artificial Intelligence (AI) against data models to predict / achieve desired business outcomes

 

The Data Architect is responsible for owning and providing the necessary strategic thought leadership, technical assurance, data integration, and data governance related to the development, evolution, and delivery of the enterprise information architecture domain as aligned to the business.

 

Business Alignment and Thought Leadership:

Work closely with the business and IT organization to ensure alignment of master data rules and the operations of the application meet all requirements

Develop and implement strategies to translate business requirements and models into feasible and acceptable data warehouse designs to ensure that business needs are met

Study data sources by interviewing users, defining, analyzing, and validating data objects, examining data applications, data models and data warehouse schema; determining best-fit data interchange methods, assessing middle ware tools for data integration, transformation, and routing, and identifying the relationship among data objects

 

Data Architecture:

Own, create, and manage the reference architecture associated artifacts, and design principles for the information and middleware layer, ensuring that key data entities are mapped, visualized and understood

Design and create enterprise information assets, services, infrastructure, and business systems

Monitor and analyze new market and industry developments for potential applicability to business needs

Define and drive information lifecycle management efforts to ensure compliance with information policies and practices

 

Data Integration:

Plan and document data integration process by developing common definitions of sourced data

Integrate data shared across legacy and new environments and implement shared databases

Develop and modify functions, programs, routines, and stored procedures to export, transform, and load data

Assist in resolving integration issues, data quality problems collaborating with data analysts, subject matter experts (SMEs) and data stewards

Manage data integration specifications, operational procedures, and data connections

Improve data integration by designing and evaluating new data interchange formats, improving physical design, and rewriting data policy, standards, and procedures

 

Master Data Management:

Lead all aspects of MDM architecture (MDM data model, MDM tools, MDM data integration, master data quality, MDM operations, master data security, etc.)

Work with business teams to determine which source systems are the best sources of Master Data for the MDM system

Ensures quality of master data in key systems, as well as, development and documentation of processes with other functional data owners to support ongoing maintenance and data integrity

 

Data Governance:

Define and implement data strategy, policies, controls, and programs to ensure the enterprise data is accurate, complete, secure, and reliable

Improve the quality and manage the protection of sensitive data and information assets

Establish and ensure adherence to enterprise data governance framework for data policies, standards and practices to achieve the required level of consistency, quality and protection

Serve as a point of escalation for governance, data quality and protection issues



Contact Imran Khan 913-257-3377 Ext 191


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